Index

A B C D E F G H I K L M N O P Q R S T U V W X Y Z _
All Classes|All Packages

A

a - Variable in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM

A - Variable in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB

A - Variable in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_MT_DDRB

A - Variable in class org.ejml.dense.row.linsol.LinearSolverAbstract_DDRM

Ablock - Variable in class org.ejml.dense.row.decomposition.BaseDecomposition_DDRB_to_DDRM

abs(DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs absolute value of a matrix:

a = abs(a)
a_ij = abs(a_ij)

abs(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs absolute value of a matrix:

c = abs(a)
c_ij = abs(a_ij)

add(double, T, double, T, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the following operation:

c = α * a + β * b
c_ij = α * a_ij + β * b_ij

add(double, T, T, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the following operation:

c = α * a + b
c_ij = α * a_ij + b_ij

add(DMatrix2, DMatrix2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the following operation:

c = a + b
c_i = a_i + b_i

add(DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the following operation:

c = a + b
c_ij = a_ij + b_ij

add(DMatrix3, DMatrix3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the following operation:

c = a + b
c_i = a_i + b_i

add(DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the following operation:

c = a + b
c_ij = a_ij + b_ij

add(DMatrix4, DMatrix4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the following operation:

c = a + b
c_i = a_i + b_i

add(DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the following operation:

c = a + b
c_ij = a_ij + b_ij

add(DMatrix5, DMatrix5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the following operation:

c = a + b
c_i = a_i + b_i

add(DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the following operation:

c = a + b
c_ij = a_ij + b_ij

add(DMatrix6, DMatrix6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the following operation:

c = a + b
c_i = a_i + b_i

add(DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the following operation:

c = a + b
c_ij = a_ij + b_ij

add(DMatrixD1, double) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs an in-place scalar addition:

a = a + val
a_ij = a_ij + val

add(T, double, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs scalar addition:

c = a + val
c_ij = a_ij + val

add(T, double, T, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the following operation:

c = a + β * b
c_ij = a_ij + β * b_ij

add(T, T, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the following operation:

c = a + b
c_ij = a_ij + b_ij

add_row(int, DSubmatrixD1, int, double, DSubmatrixD1, int, double, DSubmatrixD1, int, int, int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

add_row(int, DSubmatrixD1, int, double, DSubmatrixD1, int, double, DSubmatrixD1, int, int, int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

add_row(int, DSubmatrixD1, int, double, DSubmatrixD1, int, double, DSubmatrixD1, int, int, int) - Static method in class org.ejml.dense.block.VectorOps_DDRB

Row vector add:
add: c_i = α*a_i + βB_i
where 'a', 'b', and 'c' are row vectors within the row block vectors of A, B, and C respectively.

addComputedEigen2x2(int, int) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

addEigenAt(int) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

addEquals(DMatrix2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the following operation:

a = a + b
a_i = a_i + b_i

addEquals(DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the following operation:

a = a + b
a_ij = a_ij + b_ij

addEquals(DMatrix3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the following operation:

a = a + b
a_i = a_i + b_i

addEquals(DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the following operation:

a = a + b
a_ij = a_ij + b_ij

addEquals(DMatrix4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the following operation:

a = a + b
a_i = a_i + b_i

addEquals(DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the following operation:

a = a + b
a_ij = a_ij + b_ij

addEquals(DMatrix5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the following operation:

a = a + b
a_i = a_i + b_i

addEquals(DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the following operation:

a = a + b
a_ij = a_ij + b_ij

addEquals(DMatrix6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the following operation:

a = a + b
a_i = a_i + b_i

addEquals(DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the following operation:

a = a + b
a_ij = a_ij + b_ij

addEquals(DMatrixD1, double, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the following operation:

a = a + β * b
a_ij = a_ij + β * b_ij

addEquals(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the following operation:

a = a + b
a_ij = a_ij + b_ij

addIdentity(DMatrix1Row, DMatrix1Row, double) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM

Performs the following operation:

B = A + αI

addOuterProd(double, DMatrixD1, DMatrixD1, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.VectorVectorMult_DDRM

Adds to A ∈ ℜ ^{m × n} the results of an outer product multiplication of the two vectors.

addRow(DMatrixRMaj, DMatrixRMaj, double[], int, boolean) - Method in class org.ejml.dense.row.decomposition.qr.QrUpdate_DDRM

Adjusts the values of the Q and R matrices to take in account the effects of inserting a row to the 'A' matrix at the specified location.

addRowToA(double[], int) - Method in interface org.ejml.dense.row.linsol.AdjustableLinearSolver_DDRM

Adds a row to A.

addRowToA(double[], int) - Method in class org.ejml.dense.row.linsol.qr.AdjLinearSolverQr_DDRM

addUniform(DMatrixRMaj, double, double, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM

Adds random values to each element in the matrix from an uniform distribution.

a_ij = a_ij + U(min,max)

AdjLinearSolverQr_DDRM - Class in org.ejml.dense.row.linsol.qr

A solver for QR decomposition that can efficiently modify the previous decomposition when data is added or removed.

AdjLinearSolverQr_DDRM() - Constructor for class org.ejml.dense.row.linsol.qr.AdjLinearSolverQr_DDRM

adjustable() - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_DDRM

Create a solver which can efficiently add and remove elements instead of recomputing everything from scratch.

AdjustableLinearSolver_DDRM - Interface in org.ejml.dense.row.linsol

In many situations solutions to linear systems that share many of the same data points are needed.

alg - Variable in class org.ejml.dense.row.decomposition.BaseDecomposition_DDRB_to_DDRM

alg - Variable in class org.ejml.dense.row.linsol.LinearSolver_DDRB_to_DDRM

apply(DMatrixRMaj, DOperatorUnary) - Static method in class org.ejml.dense.row.CommonOps_DDRM

apply(DMatrixRMaj, DOperatorUnary, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

This applies a given unary function on every value stored in the matrix

applyQ(DMatrixRBlock) - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_DDRB

Multiplies the provided matrix by Q using householder reflectors.

applyQ(DMatrixRBlock) - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_MT_DDRB

Multiplies the provided matrix by Q using householder reflectors.

applyQ(DMatrixRBlock, boolean) - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_DDRB

Specialized version of applyQ() that allows the zeros in an identity matrix to be taken advantage of depending on if isIdentity is true or not.

applyQ(DMatrixRBlock, boolean) - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_MT_DDRB

Specialized version of applyQ() that allows the zeros in an identity matrix to be taken advantage of depending on if isIdentity is true or not.

applyQ(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM

A = Q*A

applyQTran(DMatrixRBlock) - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_DDRB

Multiplies the provided matrix by Q^T using householder reflectors.

applyQTran(DMatrixRBlock) - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_MT_DDRB

Multiplies the provided matrix by Q^T using householder reflectors.

applyReflectorsToRow(int, DSubmatrixD1, DSubmatrixD1, int) - Static method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalHelper_DDRB

Applies the reflectors that have been computed previously to the specified row.

applyTranQ(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM

A = Q^T*A

B

b - Variable in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM

b - Variable in class org.ejml.dense.row.decomposition.hessenberg.HessenbergSimilarDecomposition_DDRM

b - Variable in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM

BaseDecomposition_DDRB_to_DDRM - Class in org.ejml.dense.row.decomposition

Generic interface for wrapping a DMatrixRBlock decomposition for processing of DMatrixRMaj.

BaseDecomposition_DDRB_to_DDRM(DecompositionInterface<DMatrixRBlock>, int) - Constructor for class org.ejml.dense.row.decomposition.BaseDecomposition_DDRB_to_DDRM

BaseLinearSolverQrp_DDRM - Class in org.ejml.dense.row.linsol.qr

Base class for QR pivot based pseudo inverse classes.

BaseLinearSolverQrp_DDRM(QRPDecomposition_F64<DMatrixRMaj>, boolean) - Constructor for class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM

Configures internal parameters.

bidiag - Variable in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

BidiagonalDecompositionRow_DDRM - Class in org.ejml.dense.row.decomposition.bidiagonal

Performs a BidiagonalDecomposition_F64 using householder reflectors.

BidiagonalDecompositionRow_DDRM() - Constructor for class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM

BidiagonalDecompositionRow_DDRM(int) - Constructor for class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM

Creates a decompose that defines the specified amount of memory.

BidiagonalDecompositionRow_MT_DDRM - Class in org.ejml.dense.row.decomposition.bidiagonal

Performs a BidiagonalDecomposition_F64 using householder reflectors.

BidiagonalDecompositionRow_MT_DDRM() - Constructor for class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_MT_DDRM

BidiagonalDecompositionTall_DDRM - Class in org.ejml.dense.row.decomposition.bidiagonal

BidiagonalDecomposition_F64 specifically designed for tall matrices.

BidiagonalDecompositionTall_DDRM() - Constructor for class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionTall_DDRM

BidiagonalDecompositionTall_MT_DDRM - Class in org.ejml.dense.row.decomposition.bidiagonal

BidiagonalDecomposition_F64 specifically designed for tall matrices.

BidiagonalDecompositionTall_MT_DDRM() - Constructor for class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionTall_MT_DDRM

BidiagonalHelper_DDRB - Class in org.ejml.dense.block.decomposition.bidiagonal

BidiagonalHelper_DDRB() - Constructor for class org.ejml.dense.block.decomposition.bidiagonal.BidiagonalHelper_DDRB

bidiagOuterBlocks(int, DSubmatrixD1, double[], double[]) - Static method in class org.ejml.dense.block.decomposition.bidiagonal.BidiagonalHelper_DDRB

Performs a standard bidiagonal decomposition just on the outer blocks of the provided matrix

block(DMatrix1Row, DMatrix1Row, int) - Static method in class org.ejml.dense.row.misc.TransposeAlgs_DDRM

Performs a transpose across block sub-matrices.

block(DMatrix1Row, DMatrix1Row, int) - Static method in class org.ejml.dense.row.misc.TransposeAlgs_MT_DDRM

Performs a transpose across block sub-matrices.

blockA - Variable in class org.ejml.dense.row.linsol.LinearSolver_DDRB_to_DDRM

blockAligned(int, DSubmatrixD1) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

Checks to see if the submatrix has its boundaries along inner blocks.

blockB - Variable in class org.ejml.dense.row.linsol.LinearSolver_DDRB_to_DDRM

BlockHouseHolder_DDRB - Class in org.ejml.dense.block.decomposition.qr

Contains various helper functions for performing a block matrix QR decomposition.

BlockHouseHolder_DDRB() - Constructor for class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

BlockHouseHolder_MT_DDRB - Class in org.ejml.dense.block.decomposition.qr

Contains various helper functions for performing a block matrix QR decomposition.

BlockHouseHolder_MT_DDRB() - Constructor for class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

blockLength - Variable in class org.ejml.dense.row.decomposition.BaseDecomposition_DDRB_to_DDRM

blockMultMinus(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB

Performs the follow operation on individual inner blocks:

C = C - A * B

blockMultMinusTransA(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB

Performs the follow operation on individual inner blocks:

C = C - A^T * B

blockMultMinusTransB(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB

Performs the follow operation on individual inner blocks:

C = C - A * B^T

blockMultPlus(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB

Performs the follow operation on individual inner blocks:

C = C + A * B

blockMultPlus(double, double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB

Performs the follow operation on individual inner blocks:

C = C + α A * B

blockMultPlusTransA(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB

Performs the follow operation on individual inner blocks:

C = C + A^T * B

blockMultPlusTransA(double, double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB

Performs the follow operation on individual inner blocks:

C = C + α A^T * B

blockMultPlusTransB(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB

Performs the follow operation on individual inner blocks:

C = C + A * B^T

blockMultPlusTransB(double, double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB

Performs the follow operation on individual inner blocks:

C = C + α A * B^T

blockMultSet(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB

Performs the follow operation on individual inner blocks:

C = A * B

blockMultSet(double, double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB

Performs the follow operation on individual inner blocks:

C = α A * B

blockMultSetTransA(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB

Performs the follow operation on individual inner blocks:

C = A^T * B

blockMultSetTransA(double, double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB

Performs the follow operation on individual inner blocks:

C = α A^T * B

blockMultSetTransB(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB

Performs the follow operation on individual inner blocks:

C = A * B^T

blockMultSetTransB(double, double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerMultiplication_DDRB

Performs the follow operation on individual inner blocks:

C = α A * B^T

blockX - Variable in class org.ejml.dense.row.linsol.LinearSolver_DDRB_to_DDRM

boundLargestEigenValue(DMatrixRMaj, @org.jetbrains.annotations.Nullable double[]) - Static method in class org.ejml.dense.row.EigenOps_DDRM

Generates a bound for the largest eigen value of the provided matrix using Perron-Frobenius theorem.

bulgeDoubleStepQn(int) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

bulgeDoubleStepQn(int, double, double, double, double, boolean) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

bulgeSingleStepQn(int) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

bulgeSingleStepQn(int, double, double, double, boolean) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

C

canUseTallBidiagonal - Variable in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

changeSign(DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Changes the sign of every element in the vector.

a_i = -a_i

changeSign(DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Changes the sign of every element in the matrix.

a_ij = -a_ij

changeSign(DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Changes the sign of every element in the vector.

a_i = -a_i

changeSign(DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Changes the sign of every element in the matrix.

a_ij = -a_ij

changeSign(DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Changes the sign of every element in the vector.

a_i = -a_i

changeSign(DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Changes the sign of every element in the matrix.

a_ij = -a_ij

changeSign(DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Changes the sign of every element in the vector.

a_i = -a_i

changeSign(DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Changes the sign of every element in the matrix.

a_ij = -a_ij

changeSign(DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Changes the sign of every element in the vector.

a_i = -a_i

changeSign(DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Changes the sign of every element in the matrix.

a_ij = -a_ij

changeSign(DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Changes the sign of every element in the matrix.

a_ij = -a_ij

changeSign(T, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Changes the sign of every element in the matrix.

output_ij = -input_ij

checkForAndHandleZeros() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

Checks to see if either the diagonal element or off diagonal element is zero.

checkIdenticalShape(DMatrixRBlock, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

Checks to see if the two matrices have an identical shape an block size.

checkSvdMatrixSize(DMatrixRMaj, boolean, DMatrixRMaj, DMatrixRMaj, boolean) - Static method in class org.ejml.dense.row.SingularOps_DDRM

Checks to see if all the provided matrices are the expected size for an SVD.

checkZerosLT(DMatrixRMaj, int, int) - Static method in class org.ejml.dense.row.decomposition.UtilDecompositons_DDRM

Creates a zeros matrix only if A does not already exist.

checkZerosUT(DMatrixRMaj, int, int) - Static method in class org.ejml.dense.row.decomposition.UtilDecompositons_DDRM

Creates a zeros matrix only if A does not already exist.

chol(boolean) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM

Returns a CholeskyDecomposition_F64 that isn't specialized for any specific matrix size.

chol(boolean) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_MT_DDRM

Returns a CholeskyDecomposition_F64 that isn't specialized for any specific matrix size.

chol(int) - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_DDRM

Creates a linear solver using Cholesky decomposition

chol(int) - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_MT_DDRM

Creates a linear solver using Cholesky decomposition

chol(int, boolean) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM

Returns a CholeskyDecomposition_F64 that has been optimized for the specified matrix size.

chol(int, boolean) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_MT_DDRM

Returns a CholeskyDecomposition_F64 that has been optimized for the specified matrix size.

CholeskyDecomposition_DDRB_to_DDRM - Class in org.ejml.dense.row.decomposition.chol

Wrapper around CholeskyOuterForm_DDRB that allows it to process DMatrixRMaj.

CholeskyDecomposition_DDRB_to_DDRM(boolean) - Constructor for class org.ejml.dense.row.decomposition.chol.CholeskyDecomposition_DDRB_to_DDRM

CholeskyDecomposition_DDRB_to_DDRM(DecompositionInterface<DMatrixRBlock>, int) - Constructor for class org.ejml.dense.row.decomposition.chol.CholeskyDecomposition_DDRB_to_DDRM

CholeskyDecompositionBlock_DDRM - Class in org.ejml.dense.row.decomposition.chol

This is an implementation of Cholesky that processes internal submatrices as blocks.

CholeskyDecompositionBlock_DDRM(int) - Constructor for class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionBlock_DDRM

Creates a CholeksyDecomposition capable of decomposing a matrix that is n by n, where n is the width.

CholeskyDecompositionBlock_MT_DDRM - Class in org.ejml.dense.row.decomposition.chol

CholeskyDecompositionBlock_MT_DDRM(int) - Constructor for class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionBlock_MT_DDRM

Creates a CholeksyDecomposition capable of decomposing a matrix that is n by n, where n is the width.

CholeskyDecompositionCommon_DDRM - Class in org.ejml.dense.row.decomposition.chol

This is an abstract class for a Cholesky decomposition.

CholeskyDecompositionCommon_DDRM(boolean) - Constructor for class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM

Specifies if a lower or upper variant should be constructed.

CholeskyDecompositionInner_DDRM - Class in org.ejml.dense.row.decomposition.chol

This implementation of a Cholesky decomposition using the inner-product form.

CholeskyDecompositionInner_DDRM() - Constructor for class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionInner_DDRM

CholeskyDecompositionInner_DDRM(boolean) - Constructor for class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionInner_DDRM

CholeskyDecompositionLDL_DDRM - Class in org.ejml.dense.row.decomposition.chol

This variant on the Cholesky decomposition avoid the need to take the square root by performing the following decomposition:

L*D*L^T=A

where L is a lower triangular matrix with zeros on the diagonal.

CholeskyDecompositionLDL_DDRM() - Constructor for class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionLDL_DDRM

CholeskyOuterForm_DDRB - Class in org.ejml.dense.block.decomposition.chol

Block Cholesky using outer product form.

CholeskyOuterForm_DDRB(boolean) - Constructor for class org.ejml.dense.block.decomposition.chol.CholeskyOuterForm_DDRB

Creates a new BlockCholeskyOuterForm

CholeskyOuterForm_MT_DDRB - Class in org.ejml.dense.block.decomposition.chol

Block Cholesky using outer product form.

CholeskyOuterForm_MT_DDRB(boolean) - Constructor for class org.ejml.dense.block.decomposition.chol.CholeskyOuterForm_MT_DDRB

Creates a new BlockCholeskyOuterForm

CholeskyOuterSolver_DDRB - Class in org.ejml.dense.block.linsol.chol

Linear solver that uses a block cholesky decomposition.

CholeskyOuterSolver_DDRB() - Constructor for class org.ejml.dense.block.linsol.chol.CholeskyOuterSolver_DDRB

CholeskyOuterSolver_MT_DDRB - Class in org.ejml.dense.block.linsol.chol

Linear solver that uses a block cholesky decomposition.

CholeskyOuterSolver_MT_DDRB() - Constructor for class org.ejml.dense.block.linsol.chol.CholeskyOuterSolver_MT_DDRB

cholL(DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs a lower Cholesky decomposition of matrix 'A' and stores result in A.

cholL(DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs a lower Cholesky decomposition of matrix 'A' and stores result in A.

cholL(DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs a lower Cholesky decomposition of matrix 'A' and stores result in A.

cholL(DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs a lower Cholesky decomposition of matrix 'A' and stores result in A.

cholL(DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs a lower Cholesky decomposition of matrix 'A' and stores result in A.

cholLDL() - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM

cholLDL(int) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM

Returns a CholeskyDecompositionLDL_DDRM that has been optimized for the specified matrix size.

cholU(DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs an upper Cholesky decomposition of matrix 'A' and stores result in A.

cholU(DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs an upper Cholesky decomposition of matrix 'A' and stores result in A.

cholU(DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs an upper Cholesky decomposition of matrix 'A' and stores result in A.

cholU(DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs an upper Cholesky decomposition of matrix 'A' and stores result in A.

cholU(DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs an upper Cholesky decomposition of matrix 'A' and stores result in A.

columnsToVector(DMatrixRMaj, DMatrixRMaj[]) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Converts the columns in a matrix into a set of vectors.

CommonOps_DDF2 - Class in org.ejml.dense.fixed

Common matrix operations for fixed sized matrices which are 2 x 2 or 2 element vectors.

CommonOps_DDF2() - Constructor for class org.ejml.dense.fixed.CommonOps_DDF2

CommonOps_DDF3 - Class in org.ejml.dense.fixed

Common matrix operations for fixed sized matrices which are 3 x 3 or 3 element vectors.

CommonOps_DDF3() - Constructor for class org.ejml.dense.fixed.CommonOps_DDF3

CommonOps_DDF4 - Class in org.ejml.dense.fixed

Common matrix operations for fixed sized matrices which are 4 x 4 or 4 element vectors.

CommonOps_DDF4() - Constructor for class org.ejml.dense.fixed.CommonOps_DDF4

CommonOps_DDF5 - Class in org.ejml.dense.fixed

Common matrix operations for fixed sized matrices which are 5 x 5 or 5 element vectors.

CommonOps_DDF5() - Constructor for class org.ejml.dense.fixed.CommonOps_DDF5

CommonOps_DDF6 - Class in org.ejml.dense.fixed

Common matrix operations for fixed sized matrices which are 6 x 6 or 6 element vectors.

CommonOps_DDF6() - Constructor for class org.ejml.dense.fixed.CommonOps_DDF6

CommonOps_DDRM - Class in org.ejml.dense.row

Common matrix operations are contained here.

CommonOps_DDRM() - Constructor for class org.ejml.dense.row.CommonOps_DDRM

CommonOps_MT_DDRM - Class in org.ejml.dense.row

Functions from CommonOps_DDRM with concurrent implementations.

CommonOps_MT_DDRM() - Constructor for class org.ejml.dense.row.CommonOps_MT_DDRM

commonSetup(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM

This function performs sanity check on the input for decompose and sets up the QR matrix.

compact - Variable in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

compute(DMatrix1Row) - Method in class org.ejml.dense.row.misc.DeterminantFromMinor_DDRM

Computes the determinant for the specified matrix.

computeDeterminant() - Method in class org.ejml.dense.block.decomposition.chol.CholeskyOuterForm_DDRB

computeDeterminant() - Method in class org.ejml.dense.block.decomposition.chol.CholeskyOuterForm_MT_DDRB

computeDeterminant() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecomposition_DDRB_to_DDRM

computeDeterminant() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM

computeDeterminant() - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

Computes the determinant from the LU decomposition.

computeDirect(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.EigenPowerMethod_DDRM

This method computes the eigen vector with the largest eigen value by using the direct power method.

computeEigenValue(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.EigenOps_DDRM

Given matrix A and an eigen vector of A, compute the corresponding eigen value.

computeEigenVector(DMatrixRMaj, double) - Static method in class org.ejml.dense.row.EigenOps_DDRM

Given an eigenvalue it computes an eigenvector using inverse iteration:
for i=1:MAX {
(A - μI)z⁽ⁱ⁾ = q^(i-1)
q⁽ⁱ⁾ = z⁽ⁱ⁾ / ||z⁽ⁱ⁾||
λ⁽ⁱ⁾ = q^(i)T A q⁽ⁱ⁾
}

computeHouseHolderCol(int, DSubmatrixD1, double[], int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

Computes the householder vector that is used to create reflector for the column.

computeHouseHolderCol(int, DSubmatrixD1, double[], int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

Computes the householder vector that is used to create reflector for the column.

computeHouseHolderRow(int, DSubmatrixD1, double[], int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

Computes the householder vector from the specified row

computeHouseHolderRow(int, DSubmatrixD1, double[], int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

Computes the householder vector from the specified row

computeLikelihoodP() - Method in class org.ejml.dense.row.CovarianceRandomDraw_DDRM

Computes the likelihood of the random draw

computeRotator(double, double) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

Computes a rotator that will set run to zero (?)

computeRowOfV(int, DSubmatrixD1, DSubmatrixD1, int, double) - Static method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalHelper_DDRB

Final computation for a single row of 'v':

v = y -(1/2)γ(y^T*u)*u

computeShift() - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

computeShiftDirect(DMatrixRMaj, double) - Method in class org.ejml.dense.row.decomposition.eig.EigenPowerMethod_DDRM

Computes the most dominant eigen vector of A using a shifted matrix.

computeShiftInvert(DMatrixRMaj, double) - Method in class org.ejml.dense.row.decomposition.eig.EigenPowerMethod_DDRM

Computes the most dominant eigen vector of A using an inverted shifted matrix.

computeTauAndDivide(int, int, double[], double) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_DDRM

Normalizes elements in 'u' by dividing by max and computes the norm2 of the normalized array u.

computeTauAndDivide(int, int, double[], int, double) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_DDRM

computeTauAndDivideCol(int, DSubmatrixD1, int, double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

From the specified column of Y tau is computed and each element is divided by 'max'.

computeTauAndDivideCol(int, DSubmatrixD1, int, double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

From the specified column of Y tau is computed and each element is divided by 'max'.

computeTauAndDivideRow(int, DSubmatrixD1, int, int, double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

From the specified row of Y tau is computed and each element is divided by 'max'.

computeTauAndDivideRow(int, DSubmatrixD1, int, int, double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

From the specified row of Y tau is computed and each element is divided by 'max'.

computeU - Variable in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

computeU(int) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM

computeV - Variable in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

computeV(int) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM

computeV_blockVector(int, DSubmatrixD1, double[], DSubmatrixD1) - Static method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalHelper_DDRB

Given an already computed tridiagonal decomposition, compute the V row block vector.

y(:) = A*u
v(i) = y - (1/2)*γ*(y^T*u)*u

computeW_Column(int, DSubmatrixD1, DSubmatrixD1, GrowArray<DGrowArray>, double[], int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

Computes W from the householder reflectors stored in the columns of the column block submatrix Y.

computeW_Column(int, DSubmatrixD1, DSubmatrixD1, GrowArray<DGrowArray>, double[], int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

Computes W from the householder reflectors stored in the columns of the column block submatrix Y.

computeW_row(int, DSubmatrixD1, DSubmatrixD1, double[], int) - Static method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalHelper_DDRB

Computes W from the householder reflectors stored in the columns of the row block submatrix Y.

computeWilkinsonShift() - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

computeY(int, DSubmatrixD1, DSubmatrixD1, int, double) - Static method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalHelper_DDRB

Computes the 'y' vector and stores the result in 'v'

y = -γ(A + U*V^T + V*U^T)u

computeY_t_V(int, DSubmatrixD1, int, double[]) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

Computes Y^Tv^(j).

computeY_t_V(int, DSubmatrixD1, int, double[]) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

Computes Y^Tv^(j).

computeZ(int, DSubmatrixD1, DSubmatrixD1, int, double[], double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

Computes the vector z and inserts it into 'W':

z = - β_j*(V^j + W*h)

where h is a vector of length 'col' and was computed using BlockHouseHolder_DDRB.computeY_t_V(int, org.ejml.data.DSubmatrixD1, int, double[]).

computeZ(int, DSubmatrixD1, DSubmatrixD1, int, double[], double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

Computes the vector z and inserts it into 'W':

z = - β_j*(V^j + W*h)

where h is a vector of length 'col' and was computed using BlockHouseHolder_MT_DDRB.computeY_t_V(int, org.ejml.data.DSubmatrixD1, int, double[]).

concatColumns(DMatrixRMaj, DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

output = [a , b]

concatColumnsMulti(DMatrixRMaj...) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Concatinates all the matrices together along their columns.

concatRows(DMatrixRMaj, DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

output = [a ; b]

concatRowsMulti(DMatrixRMaj...) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Concatinates all the matrices together along their columns.

conditionP(DMatrixRMaj, double) - Static method in class org.ejml.dense.row.NormOps_DDRM

The condition number of a matrix is used to measure the sensitivity of the linear system Ax=b.

conditionP2(DMatrixRMaj) - Static method in class org.ejml.dense.row.NormOps_DDRM

The condition p = 2 number of a matrix is used to measure the sensitivity of the linear system Ax=b.

convert(DMatrixRBlock, DMatrixRMaj) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

Converts a row major block matrix into a row major matrix.

convert(DMatrixRMaj) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

convert(DMatrixRMaj, int) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

convert(DMatrixRMaj, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

Converts a row major matrix into a row major block matrix.

convertBlockToRow(int, int, double[]) - Method in class org.ejml.dense.row.decomposition.BaseDecomposition_DDRB_to_DDRM

convertBlockToRow(int, int, int, double[], DGrowArray) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

Converts matrix data stored is a block row major format into a row major format in place.

convertInplace(DMatrixRBlock, DMatrixRMaj, DGrowArray) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

Converts a row major block matrix into a row major matrix.

convertInplace(DMatrixRMaj, DMatrixRBlock, DGrowArray) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

Converts a row major matrix into a row major block matrix.

convertRowToBlock(int, int, int, double[], DGrowArray) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

Converts matrix data stored is a row major format into a block row major format in place.

convertToColumnMajor(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM

Converts the standard row-major matrix into a column-major vector that is advantageous for this problem.

convertTranSrc(DMatrixRMaj, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

Converts the transpose of a row major matrix into a row major block matrix.

copy(DMatrix, DMatrix) - Static method in class org.ejml.generic.GenericMatrixOps_F64

copyChangeRow(int[], DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM

Creates a copy of a matrix but swaps the rows as specified by the order array.

copyDiag(double[]) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

copyEigenvalues(double[]) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

copyOff(double[]) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

copyTriangle(boolean, DMatrixRBlock, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

Copies either the upper or lower triangular portion of src into dst.

copyTriangle(DMatrixRMaj, DMatrixRMaj, boolean) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM

Copies just the upper or lower triangular portion of a matrix.

countNonZero(DMatrixRMaj) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Counts the number of elements in A which are not zero.

countTrue(BMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Counts the number of elements in A which are true

CovarianceOps_DDRM - Class in org.ejml.dense.row

Contains operations specific to covariance matrices.

CovarianceOps_DDRM() - Constructor for class org.ejml.dense.row.CovarianceOps_DDRM

CovarianceRandomDraw_DDRM - Class in org.ejml.dense.row

Generates random vectors based on a zero mean multivariate Gaussian distribution.

CovarianceRandomDraw_DDRM(Random, DMatrixRMaj) - Constructor for class org.ejml.dense.row.CovarianceRandomDraw_DDRM

Creates a random distribution with the specified mean and covariance.

createBulge(int, double, boolean) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

Performs a similar transform on A-pI

createBulge(int, double, double, boolean) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

Performs a similar transform on B^TB-pI

createBulge2by2(int, double, boolean) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

createBulgeSingleStep(int, double) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

createMatrixD(EigenDecomposition_F64<?>) - Static method in class org.ejml.dense.row.EigenOps_DDRM

A diagonal matrix where real diagonal element contains a real eigenvalue.

createMatrixV(EigenDecomposition_F64<DMatrixRMaj>) - Static method in class org.ejml.dense.row.EigenOps_DDRM

Puts all the real eigenvectors into the columns of a matrix.

createR - Variable in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

createRandom(int, int, double, double, Random) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

createRandom(int, int, double, double, Random, int) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

createReflector(DMatrix1Row) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM

Creates a reflector from the provided vector.

Q = I - γ u u^T
γ = 2/||u||²

createReflector(DMatrixRMaj, double) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM

Creates a reflector from the provided vector and gamma.

Q = I - γ u u^T

D

dataLU - Variable in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

dataQR - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM

dataQR - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM

Where the Q and R matrices are stored.

declareBidiagonalDecomposition() - Method in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

declareBidiagonalDecomposition() - Method in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_MT_DDRM

declareInternalData(int, int) - Method in class org.ejml.dense.row.decomposition.qr.QrUpdate_DDRM

Declares the internal data structures so that it can process matrices up to the specified size.

decomp - Variable in class org.ejml.dense.row.linsol.lu.LinearSolverLuBase_DDRM

decompose(DMatrixRBlock) - Method in class org.ejml.dense.block.decomposition.chol.CholeskyOuterForm_DDRB

Decomposes the provided matrix and stores the result in the same matrix.

decompose(DMatrixRBlock) - Method in class org.ejml.dense.block.decomposition.chol.CholeskyOuterForm_MT_DDRB

Decomposes the provided matrix and stores the result in the same matrix.

decompose(DMatrixRBlock) - Method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB

decompose(DMatrixRBlock) - Method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_MT_DDRB

decompose(DMatrixRBlock) - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_DDRB

decompose(DMatrixRBlock) - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_MT_DDRB

decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.BaseDecomposition_DDRB_to_DDRM

decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM

Computes the decomposition of the provided matrix.

decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionTall_DDRM

decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionTall_MT_DDRM

decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM

Performs Choleksy decomposition on the provided matrix.

decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionLDL_DDRM

Performs Choleksy decomposition on the provided matrix.

decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.SwitchingEigenDecomposition_DDRM

decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.SymmetricQRAlgorithmDecomposition_DDRM

Decomposes the matrix using the QR algorithm.

decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.WatchedDoubleStepQRDecomposition_DDRM

decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.hessenberg.HessenbergSimilarDecomposition_DDRM

Computes the decomposition of the provided matrix.

decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM

Decomposes the provided symmetric matrix.

decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig_DDRM

Decomposes the provided symmetric matrix.

decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionAlt_DDRM

This is a modified version of what was found in the JAMA package.

decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM

To decompose the matrix 'A' it must have full rank.

decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM

In order to decompose the matrix 'A' it must have full rank.

decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM

To decompose the matrix 'A' it must have full rank.

decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM

To decompose the matrix 'A' it must have full rank.

decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.svd.SafeSvd_DDRM

decompose(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

decomposeCommonInit(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

decomposeLower() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionBlock_DDRM

Performs Choleksy decomposition on the provided matrix.

decomposeLower() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM

Performs an lower triangular decomposition.

decomposeLower() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionInner_DDRM

decomposeQR_block_col(int, DSubmatrixD1, double[]) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

Performs a standard QR decomposition on the specified submatrix that is one block wide.

decomposeQR_block_col(int, DSubmatrixD1, double[]) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

Performs a standard QR decomposition on the specified submatrix that is one block wide.

decomposer - Variable in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_DDRB

decomposer - Variable in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_MT_DDRB

decomposer - Variable in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM

decomposeSafe(DecompositionInterface<T>, T) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM

A simple convinience function that decomposes the matrix but automatically checks the input ti make sure is not being modified.

decomposeSafe(DecompositionInterface<T>, T) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_MT_DDRM

A simple convinience function that decomposes the matrix but automatically checks the input ti make sure is not being modified.

decomposeUpper() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionBlock_DDRM

decomposeUpper() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM

Performs an upper triangular decomposition.

decomposeUpper() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionInner_DDRM

DecompositionFactory_DDRM - Class in org.ejml.dense.row.factory

Contains operations related to creating and evaluating the quality of common matrix decompositions.

DecompositionFactory_DDRM() - Constructor for class org.ejml.dense.row.factory.DecompositionFactory_DDRM

DecompositionFactory_MT_DDRM - Class in org.ejml.dense.row.factory

Contains concurrent implementations of different decompositions.

DecompositionFactory_MT_DDRM() - Constructor for class org.ejml.dense.row.factory.DecompositionFactory_MT_DDRM

deleteRow(DMatrixRMaj, DMatrixRMaj, int, boolean) - Method in class org.ejml.dense.row.decomposition.qr.QrUpdate_DDRM

Adjusts the values of the Q and R matrices to take in account the effects of removing a row from the 'A' matrix at the specified location.

descendingOrder(DMatrixRMaj, boolean, double[], int, DMatrixRMaj, boolean) - Static method in class org.ejml.dense.row.SingularOps_DDRM

Similar to SingularOps_DDRM.descendingOrder(DMatrixRMaj, boolean, DMatrixRMaj, DMatrixRMaj, boolean) but takes in an array of singular values instead.

descendingOrder(DMatrixRMaj, boolean, DMatrixRMaj, DMatrixRMaj, boolean) - Static method in class org.ejml.dense.row.SingularOps_DDRM

Adjusts the matrices so that the singular values are in descending order.

det - Variable in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM

det(DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledDeterminantFromMinor_DDRM

det(DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Computes the determinant using minor matrices.
WARNING: Potentially less stable than using LU decomposition.

det(DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Computes the determinant using minor matrices.
WARNING: Potentially less stable than using LU decomposition.

det(DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Computes the determinant using minor matrices.
WARNING: Potentially less stable than using LU decomposition.

det(DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Computes the determinant using minor matrices.
WARNING: Potentially less stable than using LU decomposition.

det(DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Returns the determinant of the matrix.

det2(DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledDeterminantFromMinor_DDRM

det3(DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledDeterminantFromMinor_DDRM

det4(DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledDeterminantFromMinor_DDRM

det5(DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledDeterminantFromMinor_DDRM

det6(DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledDeterminantFromMinor_DDRM

DeterminantFromMinor_DDRM - Class in org.ejml.dense.row.misc

Computes the determinant of a matrix using Laplace expansion.

DeterminantFromMinor_DDRM(int) - Constructor for class org.ejml.dense.row.misc.DeterminantFromMinor_DDRM

DeterminantFromMinor_DDRM(int, int) - Constructor for class org.ejml.dense.row.misc.DeterminantFromMinor_DDRM

diag - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

diag - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

diag(double...) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Creates a new square matrix whose diagonal elements are specified by diagEl and all the other elements are zero.

a_ij = 0 if i ≤ j
a_ij = diag[i] if i = j

diag(DMatrixRMaj, int, double...) - Static method in class org.ejml.dense.row.CommonOps_DDRM

diag(DMatrix2x2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Extracts all diagonal elements from 'input' and places them inside the 'out' vector.

diag(DMatrix3x3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Extracts all diagonal elements from 'input' and places them inside the 'out' vector.

diag(DMatrix4x4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Extracts all diagonal elements from 'input' and places them inside the 'out' vector.

diag(DMatrix5x5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Extracts all diagonal elements from 'input' and places them inside the 'out' vector.

diag(DMatrix6x6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Extracts all diagonal elements from 'input' and places them inside the 'out' vector.

diagonal(int, double, double, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM

Creates a random diagonal matrix where the diagonal elements are selected from a uniform distribution that goes from min to max.

diagonal(int, int, double, double, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM

Creates a random matrix where all elements are zero but diagonal elements.

diagProd(DMatrix1Row) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM

Computes the product of the diagonal elements.

diagR(int, int, double...) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Creates a new rectangular matrix whose diagonal elements are specified by diagEl and all the other elements are zero.

a_ij = 0 if i ≤ j
a_ij = diag[i] if i = j

diffNormF(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM

Computes the F norm of the difference between the two Matrices:

Sqrt{∑_i=1:m ∑_j=1:n ( a_ij - b_ij)²}

diffNormF_fast(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM

diffNormP1(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM

Computes the p=1 p-norm of the difference between the two Matrices:

∑_i=1:m ∑_j=1:n | a_ij - b_ij|

where |x| is the absolute value of x.

div_row(int, DSubmatrixD1, int, double, DSubmatrixD1, int, int, int) - Static method in class org.ejml.dense.block.VectorOps_DDRB

Row vector divide:
div: b_i = a_i/α
where 'a' and 'b' are row vectors within the row block vector A and B.

divide(double, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs an in-place element by element scalar division with the scalar on top.

a_ij = α/a_ij

divide(double, T, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs an element by element scalar division with the scalar on top.

b_ij = α/a_ij

divide(DMatrix2, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs an in-place element by element scalar division.

divide(DMatrix2, double, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs an element by element scalar division.

divide(DMatrix2x2, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs an in-place element by element scalar division.

divide(DMatrix2x2, double, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs an element by element scalar division.

divide(DMatrix3, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs an in-place element by element scalar division.

divide(DMatrix3, double, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs an element by element scalar division.

divide(DMatrix3x3, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs an in-place element by element scalar division.

divide(DMatrix3x3, double, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs an element by element scalar division.

divide(DMatrix4, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs an in-place element by element scalar division.

divide(DMatrix4, double, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs an element by element scalar division.

divide(DMatrix4x4, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs an in-place element by element scalar division.

divide(DMatrix4x4, double, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs an element by element scalar division.

divide(DMatrix5, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs an in-place element by element scalar division.

divide(DMatrix5, double, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs an element by element scalar division.

divide(DMatrix5x5, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs an in-place element by element scalar division.

divide(DMatrix5x5, double, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs an element by element scalar division.

divide(DMatrix6, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs an in-place element by element scalar division.

divide(DMatrix6, double, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs an element by element scalar division.

divide(DMatrix6x6, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs an in-place element by element scalar division.

divide(DMatrix6x6, double, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs an element by element scalar division.

divide(DMatrixD1, double) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs an in-place element by element scalar division with the scalar on bottom.

a_ij = a_ij/α

divide(T, double, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs an element by element scalar division with the scalar on botton.

b_ij = a_ij /α

divideCols(DMatrixRMaj, double[]) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Divides every element in column i by value[i].

divideElements(int, int, double[], double) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_DDRM

divideElements(int, int, double[], int, double) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_DDRM

divideElements_Bcol(int, int, int, double[], double[], int, double) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_DDRM

divideElements_Brow(int, int, double[], double[], int, double) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_DDRM

divideElementsCol(int, DSubmatrixD1, int, double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

Divides the elements at the specified column by 'val'.

divideElementsCol(int, DSubmatrixD1, int, double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

Divides the elements at the specified column by 'val'.

divideRows(double[], DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Divides every element in row i by value[i].

divideRowsCols(double[], int, DMatrixRMaj, double[], int) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Equivalent to multiplying a matrix B by the inverse of two diagonal matrices.

DMatrixComponent - Class in org.ejml.dense.row

Renders a matrix as an image.

DMatrixComponent(int, int) - Constructor for class org.ejml.dense.row.DMatrixComponent

DMatrixVisualization - Class in org.ejml.dense.row

Functions for visualizing matrices in a GUI matrices.

DMatrixVisualization() - Constructor for class org.ejml.dense.row.DMatrixVisualization

dominantEigenpair(DMatrixRMaj) - Static method in class org.ejml.dense.row.EigenOps_DDRM

Computes the dominant eigen vector for a matrix.

dot(DMatrix2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the vector dot product:

c = a * b

c ≥ ∑_k=1:n { b_k * a_k }

dot(DMatrix3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the vector dot product:

c = a * b

c ≥ ∑_k=1:n { b_k * a_k }

dot(DMatrix4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the vector dot product:

c = a * b

c ≥ ∑_k=1:n { b_k * a_k }

dot(DMatrix5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the vector dot product:

c = a * b

c ≥ ∑_k=1:n { b_k * a_k }

dot(DMatrix6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the vector dot product:

c = a * b

c ≥ ∑_k=1:n { b_k * a_k }

dot(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Computes the dot product or inner product between two vectors.

dot_row(int, DSubmatrixD1, int, DSubmatrixD1, int, int, int) - Static method in class org.ejml.dense.block.VectorOps_DDRB

Row vector dot/inner product:
dot: c = sum a_i*b_i
where 'a' and 'b' are row vectors within the row block vector A and B, and 'c' is a scalar.

dot_row_col(int, DSubmatrixD1, int, DSubmatrixD1, int, int, int) - Static method in class org.ejml.dense.block.VectorOps_DDRB

vector dot/inner product from one row vector and one column vector:
dot: c = sum a_i*b_i
where 'a' is a row vector 'b' is a column vectors within the row block vector A and B, and 'c' is a scalar.

E

eig(boolean) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM

eig(boolean) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_MT_DDRM

eig(boolean, boolean) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM

eig(boolean, boolean) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_MT_DDRM

eig(int, boolean) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM

Returns an EigenDecomposition that has been optimized for the specified matrix size.

eig(int, boolean) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_MT_DDRM

Returns an EigenDecomposition that has been optimized for the specified matrix size.

eig(int, boolean, boolean) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM

Returns an EigenDecomposition which is specialized for symmetric matrices or the general problem.

eig(int, boolean, boolean) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_MT_DDRM

Returns an EigenDecomposition which is specialized for symmetric matrices or the general problem.

eigen2by2_scale(double, double, double, double) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

eigenBB_2x2(int) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

Computes the eigenvalue of the 2 by 2 matrix B^TB

EigenOps_DDRM - Class in org.ejml.dense.row

Additional functions related to eigenvalues and eigenvectors of a matrix.

EigenOps_DDRM() - Constructor for class org.ejml.dense.row.EigenOps_DDRM

EigenPowerMethod_DDRM - Class in org.ejml.dense.row.decomposition.eig

The power method is an iterative method that can be used to find dominant eigen vector in a matrix.

EigenPowerMethod_DDRM(int) - Constructor for class org.ejml.dense.row.decomposition.eig.EigenPowerMethod_DDRM

eigenSmall - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

eigenSmall - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

eigenvalue2by2(int) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

Computes the eigenvalue of the 2 by 2 matrix.

EigenvalueExtractor_DDRM - Interface in org.ejml.dense.row.decomposition.eig

EigenvalueSmall_F64 - Class in org.ejml.dense.row.decomposition.eig

EigenvalueSmall_F64() - Constructor for class org.ejml.dense.row.decomposition.eig.EigenvalueSmall_F64

elementDiagonalMaxAbs(DMatrixD1) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM

Returns the absolute value of the digonal element in the matrix that has the largest absolute value.

Max{ |a_ij| } for all i and j

elementDiv(DMatrix2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs an element by element division operation:

a_i = a_i / b_i

elementDiv(DMatrix2, DMatrix2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs an element by element division operation:

c_i = a_i / b_i

elementDiv(DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs an element by element division operation:

a_ij = a_ij / b_ij

elementDiv(DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs an element by element division operation:

c_ij = a_ij / b_ij

elementDiv(DMatrix3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs an element by element division operation:

a_i = a_i / b_i

elementDiv(DMatrix3, DMatrix3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs an element by element division operation:

c_i = a_i / b_i

elementDiv(DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs an element by element division operation:

a_ij = a_ij / b_ij

elementDiv(DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs an element by element division operation:

c_ij = a_ij / b_ij

elementDiv(DMatrix4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs an element by element division operation:

a_i = a_i / b_i

elementDiv(DMatrix4, DMatrix4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs an element by element division operation:

c_i = a_i / b_i

elementDiv(DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs an element by element division operation:

a_ij = a_ij / b_ij

elementDiv(DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs an element by element division operation:

c_ij = a_ij / b_ij

elementDiv(DMatrix5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs an element by element division operation:

a_i = a_i / b_i

elementDiv(DMatrix5, DMatrix5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs an element by element division operation:

c_i = a_i / b_i

elementDiv(DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs an element by element division operation:

a_ij = a_ij / b_ij

elementDiv(DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs an element by element division operation:

c_ij = a_ij / b_ij

elementDiv(DMatrix6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs an element by element division operation:

a_i = a_i / b_i

elementDiv(DMatrix6, DMatrix6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs an element by element division operation:

c_i = a_i / b_i

elementDiv(DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs an element by element division operation:

a_ij = a_ij / b_ij

elementDiv(DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs an element by element division operation:

c_ij = a_ij / b_ij

elementDiv(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the an element by element division operation:

a_ij = a_ij / b_ij

elementDiv(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.misc.ImplCommonOps_DDRM

elementDiv(T, T, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the an element by element division operation:

c_ij = a_ij / b_ij

elementDiv(T, T, T) - Static method in class org.ejml.dense.row.misc.ImplCommonOps_DDRM

elementExp(T, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Element-wise exp operation
c_ij = Math.exp(a_ij)

elementExp(T, T) - Static method in class org.ejml.dense.row.misc.ImplCommonOps_DDRM

elementLessThan(DMatrixRMaj, double, BMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Applies the > operator to each element in A.

elementLessThan(DMatrixRMaj, DMatrixRMaj, BMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Applies the < operator to each element in A.

elementLessThanOrEqual(DMatrixRMaj, double, BMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Applies the ≥ operator to each element in A.

elementLessThanOrEqual(DMatrixRMaj, DMatrixRMaj, BMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Applies the A ≤ B operator to each element.

elementLog(T, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Element-wise log operation
c_ij = Math.log(a_ij)

elementLog(T, T) - Static method in class org.ejml.dense.row.misc.ImplCommonOps_DDRM

elementMax(DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Returns the value of the element in the vector that has the largest value.

Max{ a_i } for all i

elementMax(DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Returns the value of the element in the matrix that has the largest value.

Max{ a_ij } for all i and j

elementMax(DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Returns the value of the element in the vector that has the largest value.

Max{ a_i } for all i

elementMax(DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Returns the value of the element in the matrix that has the largest value.

Max{ a_ij } for all i and j

elementMax(DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Returns the value of the element in the vector that has the largest value.

Max{ a_i } for all i

elementMax(DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Returns the value of the element in the matrix that has the largest value.

Max{ a_ij } for all i and j

elementMax(DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Returns the value of the element in the vector that has the largest value.

Max{ a_i } for all i

elementMax(DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Returns the value of the element in the matrix that has the largest value.

Max{ a_ij } for all i and j

elementMax(DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Returns the value of the element in the vector that has the largest value.

Max{ a_i } for all i

elementMax(DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Returns the value of the element in the matrix that has the largest value.

Max{ a_ij } for all i and j

elementMax(DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Returns the value of the element in the matrix that has the largest value.

Max{ a_ij } for all i and j

elementMax(DMatrixD1, ElementLocation) - Static method in class org.ejml.dense.row.misc.ImplCommonOps_DDRM

elementMax(DMatrixD1, ElementLocation) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Returns the value of the element in the matrix that has the largest value.

Max{ a_ij } for all i and j

elementMaxAbs(DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Returns the absolute value of the element in the vector that has the largest absolute value.

Max{ |a_i| } for all i

elementMaxAbs(DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Returns the absolute value of the element in the matrix that has the largest absolute value.

Max{ |a_ij| } for all i and j

elementMaxAbs(DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Returns the absolute value of the element in the vector that has the largest absolute value.

Max{ |a_i| } for all i

elementMaxAbs(DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Returns the absolute value of the element in the matrix that has the largest absolute value.

Max{ |a_ij| } for all i and j

elementMaxAbs(DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Returns the absolute value of the element in the vector that has the largest absolute value.

Max{ |a_i| } for all i

elementMaxAbs(DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Returns the absolute value of the element in the matrix that has the largest absolute value.

Max{ |a_ij| } for all i and j

elementMaxAbs(DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Returns the absolute value of the element in the vector that has the largest absolute value.

Max{ |a_i| } for all i

elementMaxAbs(DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Returns the absolute value of the element in the matrix that has the largest absolute value.

Max{ |a_ij| } for all i and j

elementMaxAbs(DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Returns the absolute value of the element in the vector that has the largest absolute value.

Max{ |a_i| } for all i

elementMaxAbs(DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Returns the absolute value of the element in the matrix that has the largest absolute value.

Max{ |a_ij| } for all i and j

elementMaxAbs(DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Returns the absolute value of the element in the matrix that has the largest absolute value.

Max{ |a_ij| } for all i and j

elementMaxAbs(DMatrixD1, ElementLocation) - Static method in class org.ejml.dense.row.misc.ImplCommonOps_DDRM

elementMaxAbs(DMatrixD1, ElementLocation) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Returns the absolute value of the element in the matrix that has the largest absolute value.

Max{ |a_ij| } for all i and j

elementMin(DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Returns the value of the element in the vector that has the minimum value.

Min{ a_i } for all

elementMin(DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Returns the value of the element in the matrix that has the minimum value.

Min{ a_ij } for all i and j

elementMin(DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Returns the value of the element in the vector that has the minimum value.

Min{ a_i } for all

elementMin(DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Returns the value of the element in the matrix that has the minimum value.

Min{ a_ij } for all i and j

elementMin(DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Returns the value of the element in the vector that has the minimum value.

Min{ a_i } for all

elementMin(DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Returns the value of the element in the matrix that has the minimum value.

Min{ a_ij } for all i and j

elementMin(DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Returns the value of the element in the vector that has the minimum value.

Min{ a_i } for all

elementMin(DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Returns the value of the element in the matrix that has the minimum value.

Min{ a_ij } for all i and j

elementMin(DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Returns the value of the element in the vector that has the minimum value.

Min{ a_i } for all

elementMin(DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Returns the value of the element in the matrix that has the minimum value.

Min{ a_ij } for all i and j

elementMin(DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Returns the value of the element in the matrix that has the minimum value.

Min{ a_ij } for all i and j

elementMin(DMatrixD1, ElementLocation) - Static method in class org.ejml.dense.row.misc.ImplCommonOps_DDRM

elementMin(DMatrixD1, ElementLocation) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Returns the value of the element in the matrix that has the minimum value.

Min{ a_ij } for all i and j

elementMinAbs(DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Returns the absolute value of the element in the vector that has the smallest absolute value.

Min{ |a_i| } for all i

elementMinAbs(DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Returns the absolute value of the element in the matrix that has the smallest absolute value.

Min{ |a_ij| } for all i and j

elementMinAbs(DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Returns the absolute value of the element in the vector that has the smallest absolute value.

Min{ |a_i| } for all i

elementMinAbs(DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Returns the absolute value of the element in the matrix that has the smallest absolute value.

Min{ |a_ij| } for all i and j

elementMinAbs(DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Returns the absolute value of the element in the vector that has the smallest absolute value.

Min{ |a_i| } for all i

elementMinAbs(DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Returns the absolute value of the element in the matrix that has the smallest absolute value.

Min{ |a_ij| } for all i and j

elementMinAbs(DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Returns the absolute value of the element in the vector that has the smallest absolute value.

Min{ |a_i| } for all i

elementMinAbs(DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Returns the absolute value of the element in the matrix that has the smallest absolute value.

Min{ |a_ij| } for all i and j

elementMinAbs(DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Returns the absolute value of the element in the vector that has the smallest absolute value.

Min{ |a_i| } for all i

elementMinAbs(DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Returns the absolute value of the element in the matrix that has the smallest absolute value.

Min{ |a_ij| } for all i and j

elementMinAbs(DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Returns the absolute value of the element in the matrix that has the smallest absolute value.

Min{ |a_ij| } for all i and j

elementMinAbs(DMatrixD1, ElementLocation) - Static method in class org.ejml.dense.row.misc.ImplCommonOps_DDRM

elementMinAbs(DMatrixD1, ElementLocation) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Returns the absolute value of the element in the matrix that has the smallest absolute value.

Min{ |a_ij| } for all i and j

elementMoreThan(DMatrixRMaj, double, BMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Applies the > operator to each element in A.

elementMoreThanOrEqual(DMatrixRMaj, double, BMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Applies the ≥ operator to each element in A.

elementMult(DMatrix2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs an element by element multiplication operation:

a_i = a_i * b_i

elementMult(DMatrix2, DMatrix2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs an element by element multiplication operation:

c_i = a_i * b_j

elementMult(DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs an element by element multiplication operation:

a_ij = a_ij * b_ij

elementMult(DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs an element by element multiplication operation:

c_ij = a_ij * b_ij

elementMult(DMatrix3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs an element by element multiplication operation:

a_i = a_i * b_i

elementMult(DMatrix3, DMatrix3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs an element by element multiplication operation:

c_i = a_i * b_j

elementMult(DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs an element by element multiplication operation:

a_ij = a_ij * b_ij

elementMult(DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs an element by element multiplication operation:

c_ij = a_ij * b_ij

elementMult(DMatrix4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs an element by element multiplication operation:

a_i = a_i * b_i

elementMult(DMatrix4, DMatrix4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs an element by element multiplication operation:

c_i = a_i * b_j

elementMult(DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs an element by element multiplication operation:

a_ij = a_ij * b_ij

elementMult(DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs an element by element multiplication operation:

c_ij = a_ij * b_ij

elementMult(DMatrix5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs an element by element multiplication operation:

a_i = a_i * b_i

elementMult(DMatrix5, DMatrix5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs an element by element multiplication operation:

c_i = a_i * b_j

elementMult(DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs an element by element multiplication operation:

a_ij = a_ij * b_ij

elementMult(DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs an element by element multiplication operation:

c_ij = a_ij * b_ij

elementMult(DMatrix6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs an element by element multiplication operation:

a_i = a_i * b_i

elementMult(DMatrix6, DMatrix6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs an element by element multiplication operation:

c_i = a_i * b_j

elementMult(DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs an element by element multiplication operation:

a_ij = a_ij * b_ij

elementMult(DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs an element by element multiplication operation:

c_ij = a_ij * b_ij

elementMult(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the an element by element multiplication operation:

a_ij = a_ij * b_ij

elementMult(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.misc.ImplCommonOps_DDRM

elementMult(T, T, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the an element by element multiplication operation:

c_ij = a_ij * b_ij

elementMult(T, T, T) - Static method in class org.ejml.dense.row.misc.ImplCommonOps_DDRM

elementP(DMatrix1Row, double) - Static method in class org.ejml.dense.row.NormOps_DDRM

Element wise p-norm:

norm = {∑_i=1:m ∑_j=1:n { |a_ij|^p}}^1/p

elementPower(double, T, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Element-wise power operation
c_ij = a ^ b_ij

elementPower(double, T, T) - Static method in class org.ejml.dense.row.misc.ImplCommonOps_DDRM

elementPower(T, double, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Element-wise power operation
c_ij = a_ij ^ b

elementPower(T, double, T) - Static method in class org.ejml.dense.row.misc.ImplCommonOps_DDRM

elementPower(T, T, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Element-wise power operation
c_ij = a_ij ^ b_ij

elementPower(T, T, T) - Static method in class org.ejml.dense.row.misc.ImplCommonOps_DDRM

elements(DMatrixRMaj, BMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Returns a row matrix which contains all the elements in A which are flagged as true in 'marked'

elementSum(DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Computes the sum of all the elements in the matrix:

sum(i=1:m , j=1:n ; a_ij)

elementSum(DMatrixD1) - Static method in class org.ejml.dense.row.misc.ImplCommonOps_DDRM

elementSumAbs(DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Computes the sum of the absolute value all the elements in the matrix:

sum(i=1:m , j=1:n ; |a_ij|)

elementSumAbs(DMatrixD1) - Static method in class org.ejml.dense.row.misc.ImplCommonOps_DDRM

elementSumSq(DMatrixD1) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM

Sums up the square of each element in the matrix.

ensureIdentity(DMatrixRMaj, int, int) - Static method in class org.ejml.dense.row.decomposition.UtilDecompositons_DDRM

ensureZeros(DMatrixRMaj, int, int) - Static method in class org.ejml.dense.row.decomposition.UtilDecompositons_DDRM

error - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM

error - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM

error - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM

exceptionalShift() - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

Perform a shift in a random direction that is of the same magnitude as the elements in the matrix.

exceptionalShift(int, int) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

Perform a shift in a random direction that is of the same magnitude as the elements in the matrix.

exceptionShift() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

It is possible for the QR algorithm to get stuck in a loop because of symmetries.

extract(DMatrix, int, int, int, int, DMatrix) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Extract where the destination is reshaped to match the extracted region

extract(DMatrix, int, int, int, int, DMatrix, int, int) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Extracts a submatrix from 'src' and inserts it in a submatrix in 'dst'.

extract(DMatrix, int, int, DMatrix) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Extracts a submatrix from 'src' and inserts it in a submatrix in 'dst'.

extract(DMatrix, int, int, DMatrix, int, int, int, int) - Static method in class org.ejml.dense.row.misc.ImplCommonOps_DDMA

extract(DMatrixRMaj, int[], int, int[], int, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Extracts out a matrix from source given a sub matrix with arbitrary rows and columns specified in two array lists

extract(DMatrixRMaj, int[], int, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Extracts the elements from the source matrix by their 1D index.

extract(DMatrixRMaj, int, int, int, int) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Creates a new matrix which is the specified submatrix of 'src'

extract(DMatrixRMaj, int, int, DMatrixRMaj, int, int, int, int) - Static method in class org.ejml.dense.row.misc.ImplCommonOps_DDRM

extractAligned(DMatrixRBlock, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

Extracts a matrix from src into dst.

extractColumn(DMatrix2x2, int, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Extracts the column from the matrix a.

extractColumn(DMatrix3x3, int, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Extracts the column from the matrix a.

extractColumn(DMatrix4x4, int, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Extracts the column from the matrix a.

extractColumn(DMatrix5x5, int, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Extracts the column from the matrix a.

extractColumn(DMatrix6x6, int, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Extracts the column from the matrix a.

extractColumn(DMatrixRMaj, int, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Extracts the column from a matrix.

extractDiag(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Extracts the diagonal elements 'src' write it to the 'dst' vector.

extractRow(DMatrix2x2, int, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Extracts the row from the matrix a.

extractRow(DMatrix3x3, int, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Extracts the row from the matrix a.

extractRow(DMatrix4x4, int, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Extracts the row from the matrix a.

extractRow(DMatrix5x5, int, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Extracts the row from the matrix a.

extractRow(DMatrix6x6, int, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Extracts the row from the matrix a.

extractRow(DMatrixRMaj, int, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Extracts the row from a matrix.

extractVectors(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvector_DDRM

F

fastElementP(DMatrixD1, double) - Static method in class org.ejml.dense.row.NormOps_DDRM

Same as NormOps_DDRM.elementP(org.ejml.data.DMatrix1Row, double) but runs faster by not mitigating overflow/underflow related problems.

fastNormF(DMatrix2) - Static method in class org.ejml.dense.fixed.NormOps_DDF2

fastNormF(DMatrix2x2) - Static method in class org.ejml.dense.fixed.NormOps_DDF2

fastNormF(DMatrix3) - Static method in class org.ejml.dense.fixed.NormOps_DDF3

fastNormF(DMatrix3x3) - Static method in class org.ejml.dense.fixed.NormOps_DDF3

fastNormF(DMatrix4) - Static method in class org.ejml.dense.fixed.NormOps_DDF4

fastNormF(DMatrix4x4) - Static method in class org.ejml.dense.fixed.NormOps_DDF4

fastNormF(DMatrix5) - Static method in class org.ejml.dense.fixed.NormOps_DDF5

fastNormF(DMatrix5x5) - Static method in class org.ejml.dense.fixed.NormOps_DDF5

fastNormF(DMatrix6) - Static method in class org.ejml.dense.fixed.NormOps_DDF6

fastNormF(DMatrix6x6) - Static method in class org.ejml.dense.fixed.NormOps_DDF6

fastNormF(DMatrixD1) - Static method in class org.ejml.dense.row.NormOps_DDRM

This implementation of the Frobenius norm is a straight forward implementation and can be susceptible for overflow/underflow issues.

fastNormP(DMatrixRMaj, double) - Static method in class org.ejml.dense.row.NormOps_DDRM

An unsafe but faster version of NormOps_DDRM.normP(org.ejml.data.DMatrixRMaj, double) that calls routines which are faster but more prone to overflow/underflow problems.

fastNormP2(DMatrixRMaj) - Static method in class org.ejml.dense.row.NormOps_DDRM

Computes the p=2 norm.

fill(DMatrix2, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Sets every element in the vector to the specified value.

a_i = value

fill(DMatrix2x2, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Sets every element in the matrix to the specified value.

a_ij = value

fill(DMatrix3, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Sets every element in the vector to the specified value.

a_i = value

fill(DMatrix3x3, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Sets every element in the matrix to the specified value.

a_ij = value

fill(DMatrix4, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Sets every element in the vector to the specified value.

a_i = value

fill(DMatrix4x4, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Sets every element in the matrix to the specified value.

a_ij = value

fill(DMatrix5, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Sets every element in the vector to the specified value.

a_i = value

fill(DMatrix5x5, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Sets every element in the matrix to the specified value.

a_ij = value

fill(DMatrix6, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Sets every element in the vector to the specified value.

a_i = value

fill(DMatrix6x6, double) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Sets every element in the matrix to the specified value.

a_ij = value

fill(DMatrixD1, double) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Sets every element in the matrix to the specified value.

a_ij = value

fillGaussian(DMatrixD1, double, double, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM

Sets each element in the matrix to a value drawn from an Gaussian distribution with the specified mean and standard deviation

fillUniform(DMatrixD1, double, double, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM

Sets each element in the matrix to a value drawn from an uniform distribution from 'min' to 'max' inclusive.

fillUniform(DMatrixRMaj, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM

Sets each element in the matrix to a value drawn from an uniform distribution from 0 to 1 inclusive.

findMax(double[], int, int) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_DDRM

findMaxCol(int, DSubmatrixD1, int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

Finds the element in the column with the largest absolute value.

findMaxCol(int, DSubmatrixD1, int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

Finds the element in the column with the largest absolute value.

findMaxRow(int, DSubmatrixD1, int, int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

Finds the element in the column with the largest absolute value.

findMaxRow(int, DSubmatrixD1, int, int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

Finds the element in the column with the largest absolute value.

findQandR() - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvector_DDRM

G

gamma - Variable in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

gamma - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM

gamma - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM

gamma - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM

gammas - Variable in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB

gammas - Variable in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_MT_DDRB

gammas - Variable in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM

gammas - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM

gammas - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM

gammas - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM

gammas - Variable in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM

general(int, int) - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_DDRM

Creates a general purpose solver.

GenericMatrixOps_F64 - Class in org.ejml.generic

GenericMatrixOps_F64() - Constructor for class org.ejml.generic.GenericMatrixOps_F64

getA() - Method in class org.ejml.dense.row.linsol.LinearSolverAbstract_DDRM

getA() - Method in class org.ejml.dense.row.linsol.qr.AdjLinearSolverQr_DDRM

Compute the A matrix from the Q and R matrices.

getB(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM

Returns the bidiagonal matrix.

getB(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionTall_DDRM

getB(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionTall_MT_DDRM

getColPivotMatrix(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM

getColPivots() - Method in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM

getD(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionLDL_DDRM

getDecomposer() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM

getDecomposer() - Method in class org.ejml.dense.row.linsol.svd.SolvePseudoInverseSvd_DDRM

getDecomposition() - Method in class org.ejml.dense.block.linsol.chol.CholeskyOuterSolver_DDRB

getDecomposition() - Method in class org.ejml.dense.block.linsol.chol.CholeskyOuterSolver_MT_DDRB

getDecomposition() - Method in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_DDRB

getDecomposition() - Method in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_MT_DDRB

getDecomposition() - Method in class org.ejml.dense.row.linsol.chol.LinearSolverChol_DDRM

getDecomposition() - Method in class org.ejml.dense.row.linsol.chol.LinearSolverCholLDL_DDRM

getDecomposition() - Method in class org.ejml.dense.row.linsol.LinearSolver_DDRB_to_DDRM

getDecomposition() - Method in class org.ejml.dense.row.linsol.LinearSolverUnrolled_DDRM

getDecomposition() - Method in class org.ejml.dense.row.linsol.lu.LinearSolverLuBase_DDRM

getDecomposition() - Method in class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM

getDecomposition() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM

getDecomposition() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouse_DDRM

getDecomposition() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM

getDecomposition() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseTran_DDRM

getDecomposition() - Method in class org.ejml.dense.row.linsol.svd.SolvePseudoInverseSvd_DDRM

getDiag() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

getDiagonal() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionLDL_DDRM

Diagonal elements of the diagonal D matrix.

getDiagonal(double[], double[]) - Method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB

getDiagonal(double[], double[]) - Method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_MT_DDRB

getDiagonal(double[], double[]) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM

getDiagonal(double[], double[]) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionTall_DDRM

getDiagonal(double[], double[]) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionTall_MT_DDRM

getDiagonal(double[], double[]) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecomposition_DDRB_to_DDRM

getDiagonal(double[], double[]) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM

getEigenvalue(int) - Method in class org.ejml.dense.row.decomposition.eig.SwitchingEigenDecomposition_DDRM

getEigenvalue(int) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQrAlgorithm_DDRM

Returns the eigenvalue at the specified index.

getEigenvalue(int) - Method in class org.ejml.dense.row.decomposition.eig.SymmetricQRAlgorithmDecomposition_DDRM

getEigenvalue(int) - Method in class org.ejml.dense.row.decomposition.eig.WatchedDoubleStepQRDecomposition_DDRM

getEigenvalues() - Method in interface org.ejml.dense.row.decomposition.eig.EigenvalueExtractor_DDRM

getEigenvalues() - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

getEigenvalues() - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvalue_DDRM

getEigenvalues() - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvector_DDRM

getEigenVector() - Method in class org.ejml.dense.row.decomposition.eig.EigenPowerMethod_DDRM

getEigenVector(int) - Method in class org.ejml.dense.row.decomposition.eig.SwitchingEigenDecomposition_DDRM

getEigenVector(int) - Method in class org.ejml.dense.row.decomposition.eig.SymmetricQRAlgorithmDecomposition_DDRM

getEigenVector(int) - Method in class org.ejml.dense.row.decomposition.eig.WatchedDoubleStepQRDecomposition_DDRM

getEigenvectors() - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvector_DDRM

getGamma(int) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig_DDRM

getGammas() - Method in class org.ejml.dense.row.decomposition.hessenberg.HessenbergSimilarDecomposition_DDRM

getGammas() - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM

getGammas() - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM

getGammas() - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM

getGammasU() - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM

Returns gammas from the householder operations for the U matrix.

getGammasV() - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM

Returns gammas from the householder operations for the V matrix.

getH(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.hessenberg.HessenbergSimilarDecomposition_DDRM

An upper Hessenberg matrix from the decomposition.

getImplicit() - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvector_DDRM

getImplicitQR() - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvalue_DDRM

getIndx() - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

getL() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionLDL_DDRM

Returns L matrix from the decomposition.
L*D*L^T=A

getL(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionLDL_DDRM

getLower(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

Writes the lower triangular matrix into the specified matrix.

getLU() - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

getMatrixSize() - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

getMaxValue() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

getNumberOfEigenvalues() - Method in interface org.ejml.dense.row.decomposition.eig.EigenvalueExtractor_DDRM

getNumberOfEigenvalues() - Method in class org.ejml.dense.row.decomposition.eig.SwitchingEigenDecomposition_DDRM

getNumberOfEigenvalues() - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQrAlgorithm_DDRM

Returns the number of eigenvalues available.

getNumberOfEigenvalues() - Method in class org.ejml.dense.row.decomposition.eig.SymmetricQRAlgorithmDecomposition_DDRM

getNumberOfEigenvalues() - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

getNumberOfEigenvalues() - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvalue_DDRM

getNumberOfEigenvalues() - Method in class org.ejml.dense.row.decomposition.eig.WatchedDoubleStepQRDecomposition_DDRM

getNumberOfSingularValues() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

getOff() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

getPivot() - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

getQ() - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQrAlgorithm_DDRM

getQ() - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvector_DDRM

getQ() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM

getQ() - Method in class org.ejml.dense.row.linsol.qr.SolveNullSpaceQR_DDRM

getQ() - Method in class org.ejml.dense.row.linsol.qr.SolveNullSpaceQRP_DDRM

getQ(DMatrixRBlock, boolean) - Method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB

getQ(DMatrixRBlock, boolean) - Method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_MT_DDRB

getQ(DMatrixRBlock, boolean) - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_DDRB

getQ(DMatrixRBlock, boolean) - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_MT_DDRB

getQ(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.hessenberg.HessenbergSimilarDecomposition_DDRM

An orthogonal matrix that has the following property: H = Q^TAQ

getQ(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig_DDRM

An orthogonal matrix that has the following property: T = Q^TAQ

getQ(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecomposition_DDRB_to_DDRM

getQ(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM

An orthogonal matrix that has the following property: T = Q^TAQ

getQ(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM

Computes the Q matrix from the information stored in the QR matrix.

getQ(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.qr.QRDecomposition_DDRB_to_DDRM

getQ(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM

Computes the Q matrix from the imformation stored in the QR matrix.

getQ(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM

Computes the Q matrix from the imformation stored in the QR matrix.

getQ(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_MT_DDRM

getQ(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM

Computes the Q matrix from the information stored in the QR matrix.

getQH() - Method in class org.ejml.dense.row.decomposition.hessenberg.HessenbergSimilarDecomposition_DDRM

The raw QH matrix that is stored internally.

getQR() - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_DDRB

This is the input matrix after it has been overwritten with the decomposition.

getQR() - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_MT_DDRB

This is the input matrix after it has been overwritten with the decomposition.

getQR() - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM

Returns a single matrix which contains the combined values of Q and R.

getQR() - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM

Returns the combined QR matrix in a 2D array format that is column major.

getQR() - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM

Inner matrix that stores the decomposition

getQT() - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM

Returns the internal matrix where the decomposed results are stored.

getQT() - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig_DDRM

Returns the interal matrix where the decomposed results are stored.

getR() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM

getR(DMatrixRBlock, boolean) - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_DDRB

getR(DMatrixRBlock, boolean) - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_MT_DDRB

getR(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.qr.QRDecomposition_DDRB_to_DDRM

getR(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM

Returns an upper triangular matrix which is the R in the QR decomposition.

getR(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM

Returns an upper triangular matrix which is the R in the QR decomposition.

getR(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM

Returns an upper triangular matrix which is the R in the QR decomposition.

getRank() - Method in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM

getRowPivot(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

getRowPivotV(IGrowArray) - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

getSingularValue(int) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

getSingularValues() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

getSingularValues() - Method in class org.ejml.dense.row.decomposition.svd.SafeSvd_DDRM

getSingularValues() - Method in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

getSingularValues() - Method in class org.ejml.dense.row.linsol.svd.SolveNullSpaceSvd_DDRM

getSvd() - Method in class org.ejml.dense.row.linsol.svd.SolveNullSpaceSvd_DDRM

getT() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM

Returns the triangular matrix from the decomposition.

getT(DMatrixRBlock) - Method in class org.ejml.dense.block.decomposition.chol.CholeskyOuterForm_DDRB

getT(DMatrixRBlock) - Method in class org.ejml.dense.block.decomposition.chol.CholeskyOuterForm_MT_DDRB

getT(DMatrixRBlock) - Method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB

getT(DMatrixRBlock) - Method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_MT_DDRB

getT(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecomposition_DDRB_to_DDRM

getT(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM

getT(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecomposition_DDRB_to_DDRM

getT(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM

Extracts the tridiagonal matrix found in the decomposition.

getT(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig_DDRM

Extracts the tridiagonal matrix found in the decomposition.

getU(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.svd.SafeSvd_DDRM

getU(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

getU(DMatrixRMaj, boolean, boolean) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM

Returns the orthogonal U matrix.

getU(DMatrixRMaj, boolean, boolean) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionTall_DDRM

getU(DMatrixRMaj, boolean, boolean) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionTall_MT_DDRM

getU_tran() - Method in class org.ejml.dense.row.decomposition.qr.QrUpdate_DDRM

getUBV() - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM

The raw UBV matrix that is stored internally.

getUpper(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

Writes the upper triangular matrix into the specified matrix.

getUt() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

getV(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.svd.SafeSvd_DDRM

getV(DMatrixRMaj, boolean) - Method in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

getV(DMatrixRMaj, boolean, boolean) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM

Returns the orthogonal V matrix.

getV(DMatrixRMaj, boolean, boolean) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionTall_DDRM

getV(DMatrixRMaj, boolean, boolean) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionTall_MT_DDRM

getVt() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

getW(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.svd.SafeSvd_DDRM

getW(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

H

handleB(DMatrixRMaj, boolean, int, int, int) - Static method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM

handleU(DMatrixRMaj, boolean, boolean, int, int, int) - Static method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM

handleV(DMatrixRMaj, boolean, boolean, int, int, int) - Static method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM

hasNaN(DMatrixD1) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Checks to see if any element in the matrix is NaN.

hasUncountable(DMatrix2) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF2

hasUncountable(DMatrix2x2) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF2

hasUncountable(DMatrix3) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF3

hasUncountable(DMatrix3x3) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF3

hasUncountable(DMatrix4) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF4

hasUncountable(DMatrix4x4) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF4

hasUncountable(DMatrix5) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF5

hasUncountable(DMatrix5x5) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF5

hasUncountable(DMatrix6) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF6

hasUncountable(DMatrix6x6) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF6

hasUncountable(DMatrixD1) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Checks to see if any element in the matrix is NaN of Infinite.

HessenbergSimilarDecomposition_DDRM - Class in org.ejml.dense.row.decomposition.hessenberg

Finds the decomposition of a matrix in the form of:

A = OHO^T

where A is an m by m matrix, O is an orthogonal matrix, and H is an upper Hessenberg matrix.

HessenbergSimilarDecomposition_DDRM() - Constructor for class org.ejml.dense.row.decomposition.hessenberg.HessenbergSimilarDecomposition_DDRM

HessenbergSimilarDecomposition_DDRM(int) - Constructor for class org.ejml.dense.row.decomposition.hessenberg.HessenbergSimilarDecomposition_DDRM

Creates a decomposition that won't need to allocate new memory if it is passed matrices up to the specified size.

HessenbergSimilarDecomposition_MT_DDRM - Class in org.ejml.dense.row.decomposition.hessenberg

Concurrent implementation of HessenbergSimilarDecomposition_DDRM.

HessenbergSimilarDecomposition_MT_DDRM() - Constructor for class org.ejml.dense.row.decomposition.hessenberg.HessenbergSimilarDecomposition_MT_DDRM

HessenbergSimilarDecomposition_MT_DDRM(int) - Constructor for class org.ejml.dense.row.decomposition.hessenberg.HessenbergSimilarDecomposition_MT_DDRM

householder(double, DMatrixD1, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.mult.VectorVectorMult_DDRM

Multiplies a householder reflection against a vector:

y = (I + γ u u^T)x

householder(int) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM

Computes the householder vector "u" for the first column of submatrix j.

householder(int) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM

Computes the householder vector "u" for the first column of submatrix j.

householder(int) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM

Computes the householder vector "u" for the first column of submatrix j.

householderPivot(int) - Method in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM

Computes the householder vector "u" for the first column of submatrix j.

householderSymmetric(int, double) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM

Performs the householder operations on left and right and side of the matrix.

householderSymmetric(int, double) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_MT_DDRM

Performs the householder operations on left and right and side of the matrix.

householderSymmetric(int, double) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig_DDRM

Performs the householder operations on left and right and side of the matrix.

I

I - Variable in class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM

identity(int) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Creates an identity matrix of the specified size.

a_ij = 0 if i ≠ j
a_ij = 1 if i = j

identity(int, int) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Creates a rectangular matrix which is zero except along the diagonals.

identity(int, int, int) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

Returns a new matrix with ones along the diagonal and zeros everywhere else.

ImplCommonOps_DDMA - Class in org.ejml.dense.row.misc

Implementations of common ops routines for DMatrixRMaj.

ImplCommonOps_DDMA() - Constructor for class org.ejml.dense.row.misc.ImplCommonOps_DDMA

ImplCommonOps_DDRM - Class in org.ejml.dense.row.misc

Implementations of common ops routines for DMatrixRMaj.

ImplCommonOps_DDRM() - Constructor for class org.ejml.dense.row.misc.ImplCommonOps_DDRM

implicitDoubleStep(int, int) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

Performs an implicit double step using the values contained in the lower right hand side of the submatrix for the estimated eigenvector values.

improveSol(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.lu.LinearSolverLuBase_DDRM

This attempts to improve upon the solution generated by account for numerical imprecisions.

incrementSteps() - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

incrementSteps() - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

incrementSteps() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

inducedP1(DMatrixRMaj) - Static method in class org.ejml.dense.row.NormOps_DDRM

Computes the induced p = 1 matrix norm.

||A||₁= max(j=1 to n; sum(i=1 to m; |a_ij|))

inducedP2(DMatrixRMaj) - Static method in class org.ejml.dense.row.NormOps_DDRM

Computes the induced p = 2 matrix norm, which is the largest singular value.

inducedPInf(DMatrixRMaj) - Static method in class org.ejml.dense.row.NormOps_DDRM

Induced matrix p = infinity norm.

||A||_∞ = max(i=1 to m; sum(j=1 to n; |a_ij|))

indx - Variable in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

init(double[], double[], int) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

Sets up and declares internal data structures.

init(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM

Sets up internal data structures and creates a copy of the input matrix.

init(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM

If needed declares and sets up internal data structures.

init(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig_DDRM

If needed declares and sets up internal data structures.

initializeQ(DMatrixRBlock, int, int, int, boolean) - Static method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_DDRB

Sanity checks the input or declares a new matrix.

initializeQ(DMatrixRBlock, int, int, int, boolean) - Static method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_MT_DDRB

Sanity checks the input or declares a new matrix.

initializeW(int, DSubmatrixD1, DSubmatrixD1, int, double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

Sets W to its initial value using the first column of 'y' and the value of 'b':
W = -βv

where v = Y(:,0).

initializeW(int, DSubmatrixD1, DSubmatrixD1, int, double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

Sets W to its initial value using the first column of 'y' and the value of 'b':
W = -βv

where v = Y(:,0).

initParam(int, int) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

inner_reorder(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMultProduct_DDRM

inner_reorder_lower(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMultProduct_DDRM

Computes the inner product of A times A and stores the results in B.

inner_reorder_upper(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMultProduct_DDRM

inner_small(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMultProduct_DDRM

InnerCholesky_DDRB - Class in org.ejml.dense.block.decomposition.chol

Performs a cholesky decomposition on an individual inner block.

InnerCholesky_DDRB() - Constructor for class org.ejml.dense.block.decomposition.chol.InnerCholesky_DDRB

InnerMultiplication_DDRB - Class in org.ejml.dense.block

Matrix multiplication for the inner row major blocks, typically inside of a DMatrixRBlock.

InnerMultiplication_DDRB() - Constructor for class org.ejml.dense.block.InnerMultiplication_DDRB

innerProd(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.mult.VectorVectorMult_DDRM

Computes the inner product of the two vectors.

innerProdA(DMatrixD1, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.mult.VectorVectorMult_DDRM

return = x^T*A*y

innerProdCol(int, DSubmatrixD1, int, int, int, int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

Computes the inner product of column vector 'colA' against column vector 'colB' while taking account leading zeros and one.

ret = a^T*b

innerProdCol(int, DSubmatrixD1, int, int, int, int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

Computes the inner product of column vector 'colA' against column vector 'colB' while taking account leading zeros and one.

ret = a^T*b

innerProdRow(int, DSubmatrixD1, int, DSubmatrixD1, int, int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

Computes the inner product of row vector 'rowA' against row vector 'rowB' while taking account leading zeros and one.

ret = a^T*b

innerProdRow(int, DSubmatrixD1, int, DSubmatrixD1, int, int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

Computes the inner product of row vector 'rowA' against row vector 'rowB' while taking account leading zeros and one.

ret = a^T*b

innerProdRowSymm(int, DSubmatrixD1, int, DSubmatrixD1, int, int) - Static method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalHelper_DDRB

innerProdTranA(DMatrixD1, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.mult.VectorVectorMult_DDRM

x^TA^Ty

innerProduct(double[], int, DMatrix1Row, double[], int) - Static method in class org.ejml.dense.row.mult.MatrixVectorMult_DDRM

scalar = A^T*B*C

InnerRankUpdate_DDRB - Class in org.ejml.dense.block

Performs rank-n update operations on the inner blocks of a DMatrixRBlock It is assumed and not checked that the submatrices are aligned along the matrix's blocks.

InnerRankUpdate_DDRB() - Constructor for class org.ejml.dense.block.InnerRankUpdate_DDRB

InnerRankUpdate_MT_DDRB - Class in org.ejml.dense.block

Performs rank-n update operations on the inner blocks of a DMatrixRBlock It is assumed and not checked that the submatrices are aligned along the matrix's blocks.

InnerRankUpdate_MT_DDRB() - Constructor for class org.ejml.dense.block.InnerRankUpdate_MT_DDRB

InnerTriangularSolver_DDRB - Class in org.ejml.dense.block

Contains triangular solvers for inner blocks of a DMatrixRBlock.

InnerTriangularSolver_DDRB() - Constructor for class org.ejml.dense.block.InnerTriangularSolver_DDRB

inputModified() - Method in class org.ejml.dense.block.decomposition.chol.CholeskyOuterForm_DDRB

inputModified() - Method in class org.ejml.dense.block.decomposition.chol.CholeskyOuterForm_MT_DDRB

inputModified() - Method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB

inputModified() - Method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_MT_DDRB

inputModified() - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_DDRB

The input matrix is always modified.

inputModified() - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_MT_DDRB

The input matrix is always modified.

inputModified() - Method in class org.ejml.dense.row.decomposition.BaseDecomposition_DDRB_to_DDRM

inputModified() - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM

inputModified() - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionTall_DDRM

inputModified() - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionTall_MT_DDRM

inputModified() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM

inputModified() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionLDL_DDRM

inputModified() - Method in class org.ejml.dense.row.decomposition.eig.SwitchingEigenDecomposition_DDRM

inputModified() - Method in class org.ejml.dense.row.decomposition.eig.SymmetricQRAlgorithmDecomposition_DDRM

inputModified() - Method in class org.ejml.dense.row.decomposition.eig.WatchedDoubleStepQRDecomposition_DDRM

inputModified() - Method in class org.ejml.dense.row.decomposition.hessenberg.HessenbergSimilarDecomposition_DDRM

inputModified() - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM

inputModified() - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

inputModified() - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM

inputModified() - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM

inputModified() - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM

inputModified() - Method in class org.ejml.dense.row.decomposition.svd.SafeSvd_DDRM

inputModified() - Method in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

inputModified() - Method in class org.ejml.dense.row.linsol.qr.SolveNullSpaceQR_DDRM

inputModified() - Method in class org.ejml.dense.row.linsol.qr.SolveNullSpaceQRP_DDRM

inputModified() - Method in class org.ejml.dense.row.linsol.svd.SolveNullSpaceSvd_DDRM

insert(DMatrixRMaj, DMatrixRMaj, int[], int, int[], int) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Inserts into the specified elements of dst the source matrix.

insert(DMatrix, DMatrix, int, int) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Inserts matrix 'src' into matrix 'dest' with the (0,0) of src at (row,col) in dest.

insideSpan(DMatrixRMaj[], double, double, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM

Creates a random vector that is inside the specified span.

internalSolver - Variable in class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM

inv(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.misc.UnrolledInverseFromMinor_DDRM

inv2(DMatrixRMaj, DMatrixRMaj, double) - Static method in class org.ejml.dense.row.misc.UnrolledInverseFromMinor_DDRM

inv3(DMatrixRMaj, DMatrixRMaj, double) - Static method in class org.ejml.dense.row.misc.UnrolledInverseFromMinor_DDRM

inv4(DMatrixRMaj, DMatrixRMaj, double) - Static method in class org.ejml.dense.row.misc.UnrolledInverseFromMinor_DDRM

inv5(DMatrixRMaj, DMatrixRMaj, double) - Static method in class org.ejml.dense.row.misc.UnrolledInverseFromMinor_DDRM

invert(int, boolean, DSubmatrixD1, GrowArray<DGrowArray>) - Static method in class org.ejml.dense.block.TriangularSolver_DDRB

Inverts an upper or lower triangular block submatrix.

invert(int, boolean, DSubmatrixD1, DSubmatrixD1, GrowArray<DGrowArray>) - Static method in class org.ejml.dense.block.TriangularSolver_DDRB

Inverts an upper or lower triangular block submatrix.

invert(int, boolean, DSubmatrixD1, DSubmatrixD1, GrowArray<DGrowArray>) - Static method in class org.ejml.dense.block.TriangularSolver_MT_DDRB

Inverts an upper or lower triangular block submatrix.

invert(DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Inverts matrix 'a' using minor matrices and stores the results in 'inv'.

invert(DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Inverts matrix 'a' using minor matrices and stores the results in 'inv'.

invert(DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Inverts matrix 'a' using minor matrices and stores the results in 'inv'.

invert(DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Inverts matrix 'a' using minor matrices and stores the results in 'inv'.

invert(DMatrixRBlock) - Method in class org.ejml.dense.block.linsol.chol.CholeskyOuterSolver_DDRB

invert(DMatrixRBlock) - Method in class org.ejml.dense.block.linsol.chol.CholeskyOuterSolver_MT_DDRB

invert(DMatrixRBlock) - Method in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_DDRB

Invert by solving for against an identity matrix.

invert(DMatrixRBlock) - Method in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_MT_DDRB

Invert by solving for against an identity matrix.

invert(DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs a matrix inversion operation on the specified matrix and stores the results in the same matrix.

a = a^-1

invert(DMatrixRMaj) - Static method in class org.ejml.dense.row.CovarianceOps_DDRM

Performs a matrix inversion operations that takes advantage of the special properties of a covariance matrix.

invert(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.chol.LinearSolverChol_DDRM

Sets the matrix 'inv' equal to the inverse of the matrix that was decomposed.

invert(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.chol.LinearSolverCholLDL_DDRM

Sets the matrix 'inv' equal to the inverse of the matrix that was decomposed.

invert(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.LinearSolver_DDRB_to_DDRM

Creates a block matrix the same size as A_inv, inverts the matrix and copies the results back onto A_inv.

invert(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.LinearSolverAbstract_DDRM

invert(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.LinearSolverUnrolled_DDRM

invert(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.lu.LinearSolverLuBase_DDRM

invert(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM

invert(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.svd.SolvePseudoInverseSvd_DDRM

invert(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs a matrix inversion operation that does not modify the original and stores the results in another matrix.

invert(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CovarianceOps_DDRM

Performs a matrix inversion operations that takes advantage of the special properties of a covariance matrix.

invert(LinearSolverDense<DMatrixRMaj>, DMatrix1Row, DMatrixRMaj) - Static method in class org.ejml.dense.row.linsol.InvertUsingSolve_DDRM

invert(LinearSolverDense<DMatrixRMaj>, DMatrix1Row, DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.linsol.InvertUsingSolve_DDRM

invertLower(double[], double[], int) - Static method in class org.ejml.dense.row.decomposition.TriangularSolver_DDRM

invertLower(double[], double[], int, int, int) - Static method in class org.ejml.dense.block.InnerTriangularSolver_DDRB

Inverts a square lower triangular matrix: L = L^-1

invertLower(double[], int) - Static method in class org.ejml.dense.row.decomposition.TriangularSolver_DDRM

Inverts a square lower triangular matrix: L = L^-1

invertLower(double[], int, int) - Static method in class org.ejml.dense.block.InnerTriangularSolver_DDRB

Inverts a square lower triangular matrix: L = L^-1

invertSPD(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Matrix inverse for symmetric positive definite matrices.

InvertUsingSolve_DDRM - Class in org.ejml.dense.row.linsol

A matrix can be easily inverted by solving a system with an identify matrix.

InvertUsingSolve_DDRM() - Constructor for class org.ejml.dense.row.linsol.InvertUsingSolve_DDRM

isCompact() - Method in class org.ejml.dense.row.decomposition.svd.SafeSvd_DDRM

isCompact() - Method in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

isConstantVal(DMatrixRMaj, double, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Checks to see if every value in the matrix is the specified value.

isDiagonalPositive(DMatrixRMaj) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Checks to see if all the diagonal elements in the matrix are positive.

isDiagonalZero(int) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

isEquals(BMatrixRMaj, BMatrixRMaj) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Checks to see if each element in the two matrices are equal: a_ij == b_ij

isEquals(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Checks to see if each element in the two matrices are equal: a_ij == b_ij

isEquals(DMatrixD1, DMatrixD1, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Checks to see if each element in the two matrices are within tolerance of each other: tol ≥ |a_ij - b_ij|.

isEquals(DMatrixRBlock, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

isEquals(DMatrixRBlock, DMatrixRBlock, double) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

isEqualsTriangle(DMatrix, DMatrix, boolean, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Checks to see if each element in the upper or lower triangular portion of the two matrices are within tolerance of each other: tol ≥ |a_ij - b_ij|.

isEquivalent(DMatrix, DMatrix, double) - Static method in class org.ejml.generic.GenericMatrixOps_F64

isEquivalentTriangle(boolean, DMatrix, DMatrix, double) - Static method in class org.ejml.generic.GenericMatrixOps_F64

isFullRank(DMatrixRMaj) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

isIdentical(DMatrix2, DMatrix2, double) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF2

isIdentical(DMatrix2x2, DMatrix2x2, double) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF2

isIdentical(DMatrix3, DMatrix3, double) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF3

isIdentical(DMatrix3x3, DMatrix3x3, double) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF3

isIdentical(DMatrix4, DMatrix4, double) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF4

isIdentical(DMatrix4x4, DMatrix4x4, double) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF4

isIdentical(DMatrix5, DMatrix5, double) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF5

isIdentical(DMatrix5x5, DMatrix5x5, double) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF5

isIdentical(DMatrix6, DMatrix6, double) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF6

isIdentical(DMatrix6x6, DMatrix6x6, double) - Static method in class org.ejml.dense.fixed.MatrixFeatures_DDF6

isIdentical(DMatrixD1, DMatrixD1, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Checks to see if each corresponding element in the two matrices are within tolerance of each other or have the some symbolic meaning.

isIdentity(DMatrix, double) - Static method in class org.ejml.generic.GenericMatrixOps_F64

Returns true if the provided matrix is has a value of 1 along the diagonal elements and zero along all the other elements.

isIdentity(DMatrixRMaj, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Checks to see if the provided matrix is within tolerance to an identity matrix.

isInverse(DMatrixRMaj, DMatrixRMaj, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Checks to see if the two matrices are inverses of each other.

isLower() - Method in class org.ejml.dense.block.decomposition.chol.CholeskyOuterForm_DDRB

isLower() - Method in class org.ejml.dense.block.decomposition.chol.CholeskyOuterForm_MT_DDRB

isLower() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecomposition_DDRB_to_DDRM

isLower() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM

If true the decomposition was for a lower triangular matrix.

isLowerTriangle(DMatrixRMaj, int, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Checks to see if a matrix is lower triangular or Hessenberg.

isNegative(DMatrixD1, DMatrixD1, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Checks to see if the two matrices are the negative of each other:

a_ij = -b_ij

isOffZero(int) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

isOrthogonal(DMatrixRMaj, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Checks to see if a matrix is orthogonal or isometric.

isPositiveDefinite(DMatrixRMaj) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Checks to see if the matrix is positive definite.

isPositiveSemidefinite(DMatrixRMaj) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Checks to see if the matrix is positive semidefinite:

isReal2x2(int, int) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

isRowsLinearIndependent(DMatrixRMaj) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Checks to see if the rows of the provided matrix are linearly independent.

isSingular() - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

Determines if the decomposed matrix is singular.

isSkewSymmetric(DMatrixRMaj, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Checks to see if a matrix is skew symmetric with in tolerance:

-A = A^T
or
|a_ij + a_ji| ≤ tol

isSquare(DMatrixD1) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Checks to see if it is a square matrix.

isSymmetric(DMatrixRMaj) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Returns true if the matrix is perfectly symmetric.

isSymmetric(DMatrixRMaj, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Returns true if the matrix is symmetric within the tolerance.

isUpperTriangle(DMatrixRMaj, int, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Checks to see if a matrix is upper triangular or Hessenberg.

isValid(DMatrixRMaj) - Static method in class org.ejml.dense.row.CovarianceOps_DDRM

Performs a variety of tests to see if the provided matrix is a valid covariance matrix.

isValidFast(DMatrixRMaj) - Static method in class org.ejml.dense.row.CovarianceOps_DDRM

This is a fairly light weight check to see of a covariance matrix is valid.

isVector(Matrix) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Checks to see if the matrix is a vector or not.

isZero(int) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

Checks to see if the specified off diagonal element is zero using a relative metric.

isZero(int, int) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

isZeros(DMatrixD1, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Checks to see all the elements in the matrix are zeros

K

kron(DMatrixRMaj, DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

The Kronecker product of two matrices is defined as:
C_ij = a_ijB
where C_ij is a sub matrix inside of C ∈ ℜ ^{m*k × n*l}, A ∈ ℜ ^{m × n}, and B ∈ ℜ ^{k × l}.

L

lastExceptional - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

leastSquares(int, int) - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_DDRM

Creates a good general purpose solver for over determined systems and returns the optimal least-squares solution.

leastSquares(int, int) - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_MT_DDRM

Creates a good general purpose solver for over determined systems and returns the optimal least-squares solution.

leastSquaresQrPivot(boolean, boolean) - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_DDRM

Linear solver which uses QR pivot decomposition.

linear(int) - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_DDRM

Creates a solver for linear systems.

LinearSolver_DDRB_to_DDRM - Class in org.ejml.dense.row.linsol

Wrapper that allows DMatrixRBlock to implements LinearSolverDense.

LinearSolver_DDRB_to_DDRM(LinearSolverDense<DMatrixRBlock>) - Constructor for class org.ejml.dense.row.linsol.LinearSolver_DDRB_to_DDRM

LinearSolverAbstract_DDRM - Class in org.ejml.dense.row.linsol

An abstract class that provides some common functionality and a default implementation of invert that uses the solve function of the child class.

LinearSolverAbstract_DDRM() - Constructor for class org.ejml.dense.row.linsol.LinearSolverAbstract_DDRM

LinearSolverChol_DDRB - Class in org.ejml.dense.row.linsol.chol

A wrapper around CholeskyDecomposition_F64(DMatrixRBlock) that allows it to be easily used with DMatrixRMaj.

LinearSolverChol_DDRB() - Constructor for class org.ejml.dense.row.linsol.chol.LinearSolverChol_DDRB

LinearSolverChol_DDRB(LinearSolverDense<DMatrixRBlock>) - Constructor for class org.ejml.dense.row.linsol.chol.LinearSolverChol_DDRB

LinearSolverChol_DDRM - Class in org.ejml.dense.row.linsol.chol

LinearSolverChol_DDRM(CholeskyDecompositionCommon_DDRM) - Constructor for class org.ejml.dense.row.linsol.chol.LinearSolverChol_DDRM

LinearSolverCholLDL_DDRM - Class in org.ejml.dense.row.linsol.chol

LinearSolverCholLDL_DDRM() - Constructor for class org.ejml.dense.row.linsol.chol.LinearSolverCholLDL_DDRM

LinearSolverCholLDL_DDRM(CholeskyDecompositionLDL_DDRM) - Constructor for class org.ejml.dense.row.linsol.chol.LinearSolverCholLDL_DDRM

LinearSolverFactory_DDRM - Class in org.ejml.dense.row.factory

A factory for generating solvers for systems of the form A*x=b, where A and B are known and x is unknown.

LinearSolverFactory_DDRM() - Constructor for class org.ejml.dense.row.factory.LinearSolverFactory_DDRM

LinearSolverFactory_MT_DDRM - Class in org.ejml.dense.row.factory

A factory for generating solvers for systems of the form A*x=b, where A and B are known and x is unknown.

LinearSolverFactory_MT_DDRM() - Constructor for class org.ejml.dense.row.factory.LinearSolverFactory_MT_DDRM

LinearSolverLu_DDRM - Class in org.ejml.dense.row.linsol.lu

For each column in the B matrix it makes a copy, which is then solved for and writen into X.

LinearSolverLu_DDRM(LUDecompositionBase_DDRM) - Constructor for class org.ejml.dense.row.linsol.lu.LinearSolverLu_DDRM

LinearSolverLu_DDRM(LUDecompositionBase_DDRM, boolean) - Constructor for class org.ejml.dense.row.linsol.lu.LinearSolverLu_DDRM

LinearSolverLuBase_DDRM - Class in org.ejml.dense.row.linsol.lu

LinearSolverLuBase_DDRM(LUDecompositionBase_DDRM) - Constructor for class org.ejml.dense.row.linsol.lu.LinearSolverLuBase_DDRM

LinearSolverLuKJI_DDRM - Class in org.ejml.dense.row.linsol.lu

To avoid cpu cache issues the order in which the arrays are traversed have been changed.

LinearSolverLuKJI_DDRM(LUDecompositionBase_DDRM) - Constructor for class org.ejml.dense.row.linsol.lu.LinearSolverLuKJI_DDRM

LinearSolverQr_DDRM - Class in org.ejml.dense.row.linsol.qr

A solver for a generic QR decomposition algorithm.

LinearSolverQr_DDRM(QRDecomposition<DMatrixRMaj>) - Constructor for class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM

Creates a linear solver that uses QR decomposition.

LinearSolverQrBlock64_DDRM - Class in org.ejml.dense.row.linsol.qr

Wrapper around QrHouseHolderSolver_DDRB that allows it to process DMatrixRMaj.

LinearSolverQrBlock64_DDRM() - Constructor for class org.ejml.dense.row.linsol.qr.LinearSolverQrBlock64_DDRM

LinearSolverQrBlock64_DDRM(LinearSolverDense<DMatrixRBlock>) - Constructor for class org.ejml.dense.row.linsol.qr.LinearSolverQrBlock64_DDRM

LinearSolverQrHouse_DDRM - Class in org.ejml.dense.row.linsol.qr

QR decomposition can be used to solve for systems.

LinearSolverQrHouse_DDRM() - Constructor for class org.ejml.dense.row.linsol.qr.LinearSolverQrHouse_DDRM

Creates a linear solver that uses QR decomposition.

LinearSolverQrHouseCol_DDRM - Class in org.ejml.dense.row.linsol.qr

QR decomposition can be used to solve for systems.

LinearSolverQrHouseCol_DDRM() - Constructor for class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM

Creates a linear solver that uses QR decomposition.

LinearSolverQrHouseCol_DDRM(QRDecompositionHouseholderColumn_DDRM) - Constructor for class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM

LinearSolverQrHouseCol_MT_DDRM - Class in org.ejml.dense.row.linsol.qr

Concurrent extension of LinearSolverQrHouseCol_DDRM.

LinearSolverQrHouseCol_MT_DDRM() - Constructor for class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_MT_DDRM

Creates a linear solver that uses QR decomposition.

LinearSolverQrHouseTran_DDRM - Class in org.ejml.dense.row.linsol.qr

QR decomposition can be used to solve for systems.

LinearSolverQrHouseTran_DDRM() - Constructor for class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseTran_DDRM

Creates a linear solver that uses QR decomposition.

LinearSolverQrpHouseCol_DDRM - Class in org.ejml.dense.row.linsol.qr

Performs a pseudo inverse solver using the QRColPivDecompositionHouseholderColumn_DDRM decomposition directly.

LinearSolverQrpHouseCol_DDRM(QRColPivDecompositionHouseholderColumn_DDRM, boolean) - Constructor for class org.ejml.dense.row.linsol.qr.LinearSolverQrpHouseCol_DDRM

LinearSolverUnrolled_DDRM - Class in org.ejml.dense.row.linsol

Solver which uses an unrolled inverse to compute the inverse.

LinearSolverUnrolled_DDRM() - Constructor for class org.ejml.dense.row.linsol.LinearSolverUnrolled_DDRM

lower - Variable in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM

lower(double[], int, int) - Static method in class org.ejml.dense.block.decomposition.chol.InnerCholesky_DDRB

Performs an inline lower Cholesky decomposition on an inner row-major matrix.

lower(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledCholesky_DDRM

lower(DSubmatrixD1) - Static method in class org.ejml.dense.block.decomposition.chol.InnerCholesky_DDRB

lower1(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledCholesky_DDRM

lower2(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledCholesky_DDRM

lower3(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledCholesky_DDRM

lower4(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledCholesky_DDRM

lower5(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledCholesky_DDRM

lower6(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledCholesky_DDRM

lower7(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledCholesky_DDRM

lu() - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM

lu(int) - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_DDRM

Creates a linear solver using LU decomposition

lu(int, int) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM

Returns a LUDecomposition that has been optimized for the specified matrix size.

LU - Variable in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

LUDecompositionAlt_DDRM - Class in org.ejml.dense.row.decomposition.lu

An LU decomposition algorithm that originally came from Jama.

LUDecompositionAlt_DDRM() - Constructor for class org.ejml.dense.row.decomposition.lu.LUDecompositionAlt_DDRM

LUDecompositionBase_DDRM - Class in org.ejml.dense.row.decomposition.lu

Contains common data structures and operations for LU decomposition algorithms.

LUDecompositionBase_DDRM() - Constructor for class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

M

m - Variable in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

MatrixFeatures_DDF2 - Class in org.ejml.dense.fixed

Matrix features for fixed sized matrices which are 2 x 2 or 2 element vectors.

MatrixFeatures_DDF2() - Constructor for class org.ejml.dense.fixed.MatrixFeatures_DDF2

MatrixFeatures_DDF3 - Class in org.ejml.dense.fixed

Matrix features for fixed sized matrices which are 3 x 3 or 3 element vectors.

MatrixFeatures_DDF3() - Constructor for class org.ejml.dense.fixed.MatrixFeatures_DDF3

MatrixFeatures_DDF4 - Class in org.ejml.dense.fixed

Matrix features for fixed sized matrices which are 4 x 4 or 4 element vectors.

MatrixFeatures_DDF4() - Constructor for class org.ejml.dense.fixed.MatrixFeatures_DDF4

MatrixFeatures_DDF5 - Class in org.ejml.dense.fixed

Matrix features for fixed sized matrices which are 5 x 5 or 5 element vectors.

MatrixFeatures_DDF5() - Constructor for class org.ejml.dense.fixed.MatrixFeatures_DDF5

MatrixFeatures_DDF6 - Class in org.ejml.dense.fixed

Matrix features for fixed sized matrices which are 6 x 6 or 6 element vectors.

MatrixFeatures_DDF6() - Constructor for class org.ejml.dense.fixed.MatrixFeatures_DDF6

MatrixFeatures_DDRM - Class in org.ejml.dense.row

Used to compute features that describe the structure of a matrix.

MatrixFeatures_DDRM() - Constructor for class org.ejml.dense.row.MatrixFeatures_DDRM

MatrixMatrixMult_DDRM - Class in org.ejml.dense.row.mult

This class contains various types of matrix matrix multiplication operations for DMatrix1Row.

MatrixMatrixMult_DDRM() - Constructor for class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

MatrixMatrixMult_MT_DDRM - Class in org.ejml.dense.row.mult

This class contains various types of matrix matrix multiplication operations for DMatrix1Row.

MatrixMatrixMult_MT_DDRM() - Constructor for class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

MatrixMult_DDRB - Class in org.ejml.dense.block

Matrix multiplication for DMatrixRBlock.

MatrixMult_DDRB() - Constructor for class org.ejml.dense.block.MatrixMult_DDRB

MatrixMult_MT_DDRB - Class in org.ejml.dense.block

Matrix multiplication for DMatrixRBlock.

MatrixMult_MT_DDRB() - Constructor for class org.ejml.dense.block.MatrixMult_MT_DDRB

MatrixMultProduct_DDRM - Class in org.ejml.dense.row.mult

Specialized operations for performing inner and outer products for matrices.

MatrixMultProduct_DDRM() - Constructor for class org.ejml.dense.row.mult.MatrixMultProduct_DDRM

MatrixOps_DDRB - Class in org.ejml.dense.block

Various operations on DMatrixRBlock.

MatrixOps_DDRB() - Constructor for class org.ejml.dense.block.MatrixOps_DDRB

MatrixOps_MT_DDRB - Class in org.ejml.dense.block

Various operations on DMatrixRBlock.

MatrixOps_MT_DDRB() - Constructor for class org.ejml.dense.block.MatrixOps_MT_DDRB

MatrixVectorMult_DDRM - Class in org.ejml.dense.row.mult

This class contains various types of matrix vector multiplcation operations for DMatrixRMaj.

MatrixVectorMult_DDRM() - Constructor for class org.ejml.dense.row.mult.MatrixVectorMult_DDRM

MAX - Static variable in class org.ejml.dense.row.misc.UnrolledCholesky_DDRM

MAX - Static variable in class org.ejml.dense.row.misc.UnrolledDeterminantFromMinor_DDRM

MAX - Static variable in class org.ejml.dense.row.misc.UnrolledInverseFromMinor_DDRM

maxCols - Variable in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM

maxCols - Variable in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM

maxCols - Variable in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseTran_DDRM

maxCols(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Finds the element with the minimum value along column in the input matrix and returns the results in a vector:

b_j = min(i=1:m ; a_ij)

maxRows - Variable in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM

maxRows - Variable in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM

maxRows - Variable in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseTran_DDRM

maxRows(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Finds the element with the maximum value along each row in the input matrix and returns the results in a vector:

b_j = max(i=1:n ; a_ji)

maxValue - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

maxWidth - Variable in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM

maxWidth - Variable in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

minCols(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Finds the element with the minimum value along column in the input matrix and returns the results in a vector:

b_j = min(i=1:m ; a_ij)

minLength - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM

minLength - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM

minLength - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM

minRows(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Finds the element with the minimum value along each row in the input matrix and returns the results in a vector:

b_j = min(i=1:n ; a_ji)

modifiesA() - Method in class org.ejml.dense.block.linsol.chol.CholeskyOuterSolver_DDRB

modifiesA() - Method in class org.ejml.dense.block.linsol.chol.CholeskyOuterSolver_MT_DDRB

modifiesA() - Method in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_DDRB

modifiesA() - Method in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_MT_DDRB

modifiesA() - Method in class org.ejml.dense.row.linsol.chol.LinearSolverChol_DDRM

modifiesA() - Method in class org.ejml.dense.row.linsol.chol.LinearSolverCholLDL_DDRM

modifiesA() - Method in class org.ejml.dense.row.linsol.LinearSolver_DDRB_to_DDRM

modifiesA() - Method in class org.ejml.dense.row.linsol.LinearSolverUnrolled_DDRM

modifiesA() - Method in class org.ejml.dense.row.linsol.lu.LinearSolverLuBase_DDRM

modifiesA() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM

modifiesA() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouse_DDRM

modifiesA() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM

modifiesA() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseTran_DDRM

modifiesA() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrpHouseCol_DDRM

modifiesA() - Method in class org.ejml.dense.row.linsol.qr.SolvePseudoInverseQrp_DDRM

modifiesA() - Method in class org.ejml.dense.row.linsol.svd.SolvePseudoInverseSvd_DDRM

modifiesB() - Method in class org.ejml.dense.block.linsol.chol.CholeskyOuterSolver_DDRB

modifiesB() - Method in class org.ejml.dense.block.linsol.chol.CholeskyOuterSolver_MT_DDRB

modifiesB() - Method in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_DDRB

modifiesB() - Method in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_MT_DDRB

modifiesB() - Method in class org.ejml.dense.row.linsol.chol.LinearSolverChol_DDRM

modifiesB() - Method in class org.ejml.dense.row.linsol.chol.LinearSolverCholLDL_DDRM

modifiesB() - Method in class org.ejml.dense.row.linsol.LinearSolver_DDRB_to_DDRM

modifiesB() - Method in class org.ejml.dense.row.linsol.LinearSolverUnrolled_DDRM

modifiesB() - Method in class org.ejml.dense.row.linsol.lu.LinearSolverLuBase_DDRM

modifiesB() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM

modifiesB() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouse_DDRM

modifiesB() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM

modifiesB() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseTran_DDRM

modifiesB() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrpHouseCol_DDRM

modifiesB() - Method in class org.ejml.dense.row.linsol.qr.SolvePseudoInverseQrp_DDRM

modifiesB() - Method in class org.ejml.dense.row.linsol.svd.SolvePseudoInverseSvd_DDRM

mult(double, DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the following operation:

c = α * a * b

c_ij = α ∑_k=1:n { a_ik * b_kj}

mult(double, DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the following operation:

c = α * a * b

c_ij = α ∑_k=1:n { a_ik * b_kj}

mult(double, DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the following operation:

c = α * a * b

c_ij = α ∑_k=1:n { a_ik * b_kj}

mult(double, DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the following operation:

c = α * a * b

c_ij = α ∑_k=1:n { a_ik * b_kj}

mult(double, DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the following operation:

c = α * a * b

c_ij = α ∑_k=1:n { a_ik * b_kj}

mult(double, T, T, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the following operation:

c = α * a * b

c_ij = α ∑_k=1:n { * a_ik * b_kj}

mult(double, T, T, T) - Static method in class org.ejml.dense.row.CommonOps_MT_DDRM

Performs the following operation:

c = α * a * b

c_ij = α ∑_k=1:n { * a_ik * b_kj}

mult(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.MatrixMult_DDRB

Performs a matrix multiplication on DMatrixRBlock submatrices.

c = a * b

mult(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.MatrixMult_MT_DDRB

Performs a matrix multiplication on DMatrixRBlock submatrices.

c = a * b

mult(DMatrix1Row, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.mult.MatrixVectorMult_DDRM

Performs a matrix vector multiply.

c = A * b
and
c = A * b^T

c_i = Sum{ j=1:n, a_ij * b_j}

where A is a matrix, b is a column or transposed row vector, and c is a column vector.

mult(DMatrix2, DMatrix2x2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs vector to matrix multiplication:

c = a * b

c_j = ∑_k=1:n { b_k * a_kj }

mult(DMatrix2x2, DMatrix2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs matrix to vector multiplication:

c = a * b

c_i = ∑_k=1:n { a_ik * b_k}

mult(DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the following operation:

c = a * b

c_ij = ∑_k=1:n { a_ik * b_kj}

mult(DMatrix3, DMatrix3x3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs vector to matrix multiplication:

c = a * b

c_j = ∑_k=1:n { b_k * a_kj }

mult(DMatrix3x3, DMatrix3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs matrix to vector multiplication:

c = a * b

c_i = ∑_k=1:n { a_ik * b_k}

mult(DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the following operation:

c = a * b

c_ij = ∑_k=1:n { a_ik * b_kj}

mult(DMatrix4, DMatrix4x4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs vector to matrix multiplication:

c = a * b

c_j = ∑_k=1:n { b_k * a_kj }

mult(DMatrix4x4, DMatrix4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs matrix to vector multiplication:

c = a * b

c_i = ∑_k=1:n { a_ik * b_k}

mult(DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the following operation:

c = a * b

c_ij = ∑_k=1:n { a_ik * b_kj}

mult(DMatrix5, DMatrix5x5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs vector to matrix multiplication:

c = a * b

c_j = ∑_k=1:n { b_k * a_kj }

mult(DMatrix5x5, DMatrix5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs matrix to vector multiplication:

c = a * b

c_i = ∑_k=1:n { a_ik * b_k}

mult(DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the following operation:

c = a * b

c_ij = ∑_k=1:n { a_ik * b_kj}

mult(DMatrix6, DMatrix6x6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs vector to matrix multiplication:

c = a * b

c_j = ∑_k=1:n { b_k * a_kj }

mult(DMatrix6x6, DMatrix6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs matrix to vector multiplication:

c = a * b

c_i = ∑_k=1:n { a_ik * b_k}

mult(DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the following operation:

c = a * b

c_ij = ∑_k=1:n { a_ik * b_kj}

mult(DMatrixRBlock, DMatrixRBlock, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

mult(DMatrixRBlock, DMatrixRBlock, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_MT_DDRB

mult(T, T, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the following operation:

c = a * b

c_ij = ∑_k=1:n { a_ik * b_kj}

mult(T, T, T) - Static method in class org.ejml.dense.row.CommonOps_MT_DDRM

Performs the following operation:

c = a * b

c_ij = ∑_k=1:n { a_ik * b_kj}

mult_aux(double, DMatrix1Row, DMatrix1Row, DMatrix1Row, @org.jetbrains.annotations.Nullable double[]) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

mult_aux(DMatrix1Row, DMatrix1Row, DMatrix1Row, @org.jetbrains.annotations.Nullable double[]) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

mult_reorder(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

mult_reorder(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

mult_reorder(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

mult_reorder(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

mult_small(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

mult_small(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

mult_small(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

mult_small(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

multA_u(int, DSubmatrixD1, DSubmatrixD1, int) - Static method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalHelper_DDRB

Multiples the appropriate submatrix of A by the specified reflector and stores the result ('y') in V.

y = A*u

multAdd(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the following operation:

c = c + α * a * b
c_ij = c_ij + α * ∑_k=1:n { a_ik * b_kj}

multAdd(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_MT_DDRM

Performs the following operation:

c = c + α * a * b
c_ij = c_ij + α * ∑_k=1:n { a_ik * b_kj}

multAdd(double, DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the following operation:

c += α * a * b

c_ij += α ∑_k=1:n { a_ik * b_kj}

multAdd(double, DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the following operation:

c += α * a * b

c_ij += α ∑_k=1:n { a_ik * b_kj}

multAdd(double, DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the following operation:

c += α * a * b

c_ij += α ∑_k=1:n { a_ik * b_kj}

multAdd(double, DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the following operation:

c += α * a * b

c_ij += α ∑_k=1:n { a_ik * b_kj}

multAdd(double, DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the following operation:

c += α * a * b

c_ij += α ∑_k=1:n { a_ik * b_kj}

multAdd(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the following operation:

c = c + a * b
c_ij = c_ij + ∑_k=1:n { a_ik * b_kj}

multAdd(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_MT_DDRM

Performs the following operation:

c = c + a * b
c_ij = c_ij + ∑_k=1:n { a_ik * b_kj}

multAdd(DMatrix1Row, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.mult.MatrixVectorMult_DDRM

Performs a matrix vector multiply.

C = C + A * B
or
C = C + A * B^T

c_i = Sum{ j=1:n, c_i + a_ij * b_j}

where A is a matrix, B is a column or transposed row vector, and C is a column vector.

multAdd(DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the following operation:

c += a * b

c_ij += ∑_k=1:n { a_ik * b_kj}

multAdd(DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the following operation:

c += a * b

c_ij += ∑_k=1:n { a_ik * b_kj}

multAdd(DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the following operation:

c += a * b

c_ij += ∑_k=1:n { a_ik * b_kj}

multAdd(DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the following operation:

c += a * b

c_ij += ∑_k=1:n { a_ik * b_kj}

multAdd(DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the following operation:

c += a * b

c_ij += ∑_k=1:n { a_ik * b_kj}

multAdd_aux(double, DMatrix1Row, DMatrix1Row, DMatrix1Row, @org.jetbrains.annotations.Nullable double[]) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multAdd_aux(DMatrix1Row, DMatrix1Row, DMatrix1Row, @org.jetbrains.annotations.Nullable double[]) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multAdd_reorder(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multAdd_reorder(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

multAdd_reorder(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multAdd_reorder(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

multAdd_small(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multAdd_small(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

multAdd_small(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multAdd_small(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

multAdd_zeros(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

Special multiplication that takes in account the zeros and one in Y, which is the matrix that stores the householder vectors.

multAdd_zeros(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

Special multiplication that takes in account the zeros and one in Y, which is the matrix that stores the householder vectors.

multAddOuter(double, DMatrix2x2, double, DMatrix2, DMatrix2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

C = αA + βu*v^T

multAddOuter(double, DMatrix3x3, double, DMatrix3, DMatrix3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

C = αA + βu*v^T

multAddOuter(double, DMatrix4x4, double, DMatrix4, DMatrix4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

C = αA + βu*v^T

multAddOuter(double, DMatrix5x5, double, DMatrix5, DMatrix5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

C = αA + βu*v^T

multAddOuter(double, DMatrix6x6, double, DMatrix6, DMatrix6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

C = αA + βu*v^T

multAddTransA(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the following operation:

c = c + α * a^T * b
c_ij =c_ij + α * ∑_k=1:n { a_ki * b_kj}

multAddTransA(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_MT_DDRM

Performs the following operation:

c = c + α * a^T * b
c_ij =c_ij + α * ∑_k=1:n { a_ki * b_kj}

multAddTransA(double, DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the following operation:

c += α * a^T * b

c_ij += α * ∑_k=1:n { a_ki * b_kj}

multAddTransA(double, DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the following operation:

c += α * a^T * b

c_ij += α * ∑_k=1:n { a_ki * b_kj}

multAddTransA(double, DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the following operation:

c += α * a^T * b

c_ij += α * ∑_k=1:n { a_ki * b_kj}

multAddTransA(double, DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the following operation:

c += α * a^T * b

c_ij += α * ∑_k=1:n { a_ki * b_kj}

multAddTransA(double, DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the following operation:

c += α * a^T * b

c_ij += α * ∑_k=1:n { a_ki * b_kj}

multAddTransA(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the following operation:

c = c + a^T * b
c_ij = c_ij + ∑_k=1:n { a_ki * b_kj}

multAddTransA(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_MT_DDRM

Performs the following operation:

c = c + a^T * b
c_ij = c_ij + ∑_k=1:n { a_ki * b_kj}

multAddTransA(DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the following operation:

c += a^T * b

c_ij += ∑_k=1:n { a_ki * b_kj}

multAddTransA(DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the following operation:

c += a^T * b

c_ij += ∑_k=1:n { a_ki * b_kj}

multAddTransA(DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the following operation:

c += a^T * b

c_ij += ∑_k=1:n { a_ki * b_kj}

multAddTransA(DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the following operation:

c += a^T * b

c_ij += ∑_k=1:n { a_ki * b_kj}

multAddTransA(DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the following operation:

c += a^T * b

c_ij += ∑_k=1:n { a_ki * b_kj}

multAddTransA_reorder(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multAddTransA_reorder(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

multAddTransA_reorder(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multAddTransA_reorder(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

multAddTransA_reorder(DMatrix1Row, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.mult.MatrixVectorMult_DDRM

An alternative implementation of MatrixVectorMult_DDRM.multAddTransA_small(org.ejml.data.DMatrix1Row, org.ejml.data.DMatrixD1, org.ejml.data.DMatrixD1) that performs well on large matrices.

multAddTransA_small(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multAddTransA_small(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

multAddTransA_small(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multAddTransA_small(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

multAddTransA_small(DMatrix1Row, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.mult.MatrixVectorMult_DDRM

Performs a matrix vector multiply.

C = C + A^T * B
or
C = C^T + A^T * B^T

c_i = Sum{ j=1:n, c_i + a_ji * b_j}

where A is a matrix, B is a column or transposed row vector, and C is a column vector.

multAddTransAB(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the following operation:

c = c + α * a^T * b^T
c_ij = c_ij + α * ∑_k=1:n { a_ki * b_jk}

multAddTransAB(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_MT_DDRM

Performs the following operation:

c = c + α * a^T * b^T
c_ij = c_ij + α * ∑_k=1:n { a_ki * b_jk}

multAddTransAB(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multAddTransAB(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

multAddTransAB(double, DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the following operation:

c += α*a^T * b^T
c_ij += α*∑_k=1:n { a_ki * b_jk}

multAddTransAB(double, DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the following operation:

c += α*a^T * b^T
c_ij += α*∑_k=1:n { a_ki * b_jk}

multAddTransAB(double, DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the following operation:

c += α*a^T * b^T
c_ij += α*∑_k=1:n { a_ki * b_jk}

multAddTransAB(double, DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the following operation:

c += α*a^T * b^T
c_ij += α*∑_k=1:n { a_ki * b_jk}

multAddTransAB(double, DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the following operation:

c += α*a^T * b^T
c_ij += α*∑_k=1:n { a_ki * b_jk}

multAddTransAB(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the following operation:

c = c + a^T * b^T
c_ij = c_ij + ∑_k=1:n { a_ki * b_jk}

multAddTransAB(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_MT_DDRM

Performs the following operation:

c = c + a^T * b^T
c_ij = c_ij + ∑_k=1:n { a_ki * b_jk}

multAddTransAB(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multAddTransAB(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

multAddTransAB(DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the following operation:

c += a^T * b^T
c_ij += ∑_k=1:n { a_ki * b_jk}

multAddTransAB(DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the following operation:

c += a^T * b^T
c_ij += ∑_k=1:n { a_ki * b_jk}

multAddTransAB(DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the following operation:

c += a^T * b^T
c_ij += ∑_k=1:n { a_ki * b_jk}

multAddTransAB(DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the following operation:

c += a^T * b^T
c_ij += ∑_k=1:n { a_ki * b_jk}

multAddTransAB(DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the following operation:

c += a^T * b^T
c_ij += ∑_k=1:n { a_ki * b_jk}

multAddTransAB_aux(double, DMatrix1Row, DMatrix1Row, DMatrix1Row, @org.jetbrains.annotations.Nullable double[]) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multAddTransAB_aux(DMatrix1Row, DMatrix1Row, DMatrix1Row, @org.jetbrains.annotations.Nullable double[]) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multAddTransB(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the following operation:

c = c + α * a * b^T
c_ij = c_ij + α * ∑_k=1:n { a_ik * b_jk}

multAddTransB(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_MT_DDRM

Performs the following operation:

c = c + α * a * b^T
c_ij = c_ij + α * ∑_k=1:n { a_ik * b_jk}

multAddTransB(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multAddTransB(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

multAddTransB(double, DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the following operation:

c += α * a * b^T
c_ij += α*∑_k=1:n { a_ik * b_jk}

multAddTransB(double, DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the following operation:

c += α * a * b^T
c_ij += α*∑_k=1:n { a_ik * b_jk}

multAddTransB(double, DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the following operation:

c += α * a * b^T
c_ij += α*∑_k=1:n { a_ik * b_jk}

multAddTransB(double, DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the following operation:

c += α * a * b^T
c_ij += α*∑_k=1:n { a_ik * b_jk}

multAddTransB(double, DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the following operation:

c += α * a * b^T
c_ij += α*∑_k=1:n { a_ik * b_jk}

multAddTransB(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the following operation:

c = c + a * b^T
c_ij = c_ij + ∑_k=1:n { a_ik * b_jk}

multAddTransB(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_MT_DDRM

Performs the following operation:

c = c + a * b^T
c_ij = c_ij + ∑_k=1:n { a_ik * b_jk}

multAddTransB(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multAddTransB(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

multAddTransB(DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the following operation:

c += a * b^T
c_ij += ∑_k=1:n { a_ik * b_jk}

multAddTransB(DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the following operation:

c += a * b^T
c_ij += ∑_k=1:n { a_ik * b_jk}

multAddTransB(DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the following operation:

c += a * b^T
c_ij += ∑_k=1:n { a_ik * b_jk}

multAddTransB(DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the following operation:

c += a * b^T
c_ij += ∑_k=1:n { a_ik * b_jk}

multAddTransB(DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the following operation:

c += a * b^T
c_ij += ∑_k=1:n { a_ik * b_jk}

multBlockAdd_zerosone(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

Inner block mult add operation that takes in account the zeros and on in dataA, which is the top part of the Y block vector that has the householder vectors.

C = C + A * B

multBlockAdd_zerosone(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

Inner block mult add operation that takes in account the zeros and on in dataA, which is the top part of the Y block vector that has the householder vectors.

C = C + A * B

multCols(DMatrixRMaj, double[]) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Multiplies every element in column i by value[i].

multInner(T, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Computes the matrix multiplication inner product:

c = a^T * a

c_ij = ∑_k=1:n { a_ki * a_kj}

multLowerTranA(DMatrixRMaj) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM

Performs L = L^T*L

multLowerTranB(DMatrixRMaj) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM

Performs L = L*L^T

multMinus(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.MatrixMult_DDRB

Performs a matrix multiplication on DMatrixRBlock submatrices.

c = c - a * b

multMinus(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.MatrixMult_MT_DDRB

Performs a matrix multiplication on DMatrixRBlock submatrices.

c = c - a * b

multMinusTransA(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.MatrixMult_DDRB

multMinusTransA(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.MatrixMult_MT_DDRB

multOuter(T, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Computes the matrix multiplication outer product:

c = a * a^T

c_ij = ∑_k=1:m { a_ik * a_jk}

multPlus(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.MatrixMult_DDRB

Performs a matrix multiplication on DMatrixRBlock submatrices.

c = c + a * b

multPlus(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.MatrixMult_MT_DDRB

Performs a matrix multiplication on DMatrixRBlock submatrices.

c = c + a * b

multPlusTransA(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB

C = C + A^T*B

multPlusTransA(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_MT_DDRB

C = C + A^T*B

multPlusTransA(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.MatrixMult_DDRB

multPlusTransA(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.MatrixMult_MT_DDRB

multRows(double[], DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Multiplies every element in row i by value[i].

multTransA(double, DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the following operation:

c = α * a^T * b

c_ij = α * ∑_k=1:n { a_ki * b_kj}

multTransA(double, DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the following operation:

c = α * a^T * b

c_ij = α * ∑_k=1:n { a_ki * b_kj}

multTransA(double, DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the following operation:

c = α * a^T * b

c_ij = α * ∑_k=1:n { a_ki * b_kj}

multTransA(double, DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the following operation:

c = α * a^T * b

c_ij = α * ∑_k=1:n { a_ki * b_kj}

multTransA(double, DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the following operation:

c = α * a^T * b

c_ij = α * ∑_k=1:n { a_ki * b_kj}

multTransA(double, T, T, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the following operation:

c = α * a^T * b

c_ij = α ∑_k=1:n { a_ki * b_kj}

multTransA(double, T, T, T) - Static method in class org.ejml.dense.row.CommonOps_MT_DDRM

Performs the following operation:

c = α * a^T * b

c_ij = α ∑_k=1:n { a_ki * b_kj}

multTransA(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.MatrixMult_DDRB

Performs a matrix multiplication with a transpose on DMatrixRBlock submatrices.

c = a^T * b

multTransA(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.MatrixMult_MT_DDRB

Performs a matrix multiplication with a transpose on DMatrixRBlock submatrices.

c = a^T * b

multTransA(DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the following operation:

c = a^T * b

c_ij = ∑_k=1:n { a_ki * b_kj}

multTransA(DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the following operation:

c = a^T * b

c_ij = ∑_k=1:n { a_ki * b_kj}

multTransA(DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the following operation:

c = a^T * b

c_ij = ∑_k=1:n { a_ki * b_kj}

multTransA(DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the following operation:

c = a^T * b

c_ij = ∑_k=1:n { a_ki * b_kj}

multTransA(DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the following operation:

c = a^T * b

c_ij = ∑_k=1:n { a_ki * b_kj}

multTransA(DMatrixRBlock, DMatrixRBlock, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

multTransA(DMatrixRBlock, DMatrixRBlock, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_MT_DDRB

multTransA(T, T, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the following operation:

c = a^T * b

c_ij = ∑_k=1:n { a_ki * b_kj}

multTransA(T, T, T) - Static method in class org.ejml.dense.row.CommonOps_MT_DDRM

Performs the following operation:

c = a^T * b

c_ij = ∑_k=1:n { a_ki * b_kj}

multTransA_reorder(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multTransA_reorder(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

multTransA_reorder(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multTransA_reorder(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

multTransA_reorder(DMatrix1Row, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.mult.MatrixVectorMult_DDRM

An alternative implementation of MatrixVectorMult_DDRM.multTransA_small(org.ejml.data.DMatrix1Row, org.ejml.data.DMatrixD1, org.ejml.data.DMatrixD1) that performs well on large matrices.

multTransA_small(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multTransA_small(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

multTransA_small(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multTransA_small(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

multTransA_small(DMatrix1Row, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.mult.MatrixVectorMult_DDRM

Performs a matrix vector multiply.

C = A^T * B
where B is a column vector.
or
C = A^T * B^T
where B is a row vector.

multTransA_vecCol(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

Performs a matrix multiplication on the block aligned submatrices.

multTransA_vecCol(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

Performs a matrix multiplication on the block aligned submatrices.

multTransAB(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multTransAB(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

multTransAB(double, DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the following operation:

c = α*a^T * b^T
c_ij = α*∑_k=1:n { a_ki * b_jk}

multTransAB(double, DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the following operation:

c = α*a^T * b^T
c_ij = α*∑_k=1:n { a_ki * b_jk}

multTransAB(double, DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the following operation:

c = α*a^T * b^T
c_ij = α*∑_k=1:n { a_ki * b_jk}

multTransAB(double, DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the following operation:

c = α*a^T * b^T
c_ij = α*∑_k=1:n { a_ki * b_jk}

multTransAB(double, DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the following operation:

c = α*a^T * b^T
c_ij = α*∑_k=1:n { a_ki * b_jk}

multTransAB(double, T, T, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the following operation:

c = α * a^T * b^T
c_ij = α ∑_k=1:n { a_ki * b_jk}

multTransAB(double, T, T, T) - Static method in class org.ejml.dense.row.CommonOps_MT_DDRM

Performs the following operation:

c = α * a^T * b^T
c_ij = α ∑_k=1:n { a_ki * b_jk}

multTransAB(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multTransAB(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

multTransAB(DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the following operation:

c = a^T * b^T
c_ij = ∑_k=1:n { a_ki * b_jk}

multTransAB(DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the following operation:

c = a^T * b^T
c_ij = ∑_k=1:n { a_ki * b_jk}

multTransAB(DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the following operation:

c = a^T * b^T
c_ij = ∑_k=1:n { a_ki * b_jk}

multTransAB(DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the following operation:

c = a^T * b^T
c_ij = ∑_k=1:n { a_ki * b_jk}

multTransAB(DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the following operation:

c = a^T * b^T
c_ij = ∑_k=1:n { a_ki * b_jk}

multTransAB(T, T, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the following operation:

c = a^T * b^T
c_ij = ∑_k=1:n { a_ki * b_jk}

multTransAB(T, T, T) - Static method in class org.ejml.dense.row.CommonOps_MT_DDRM

Performs the following operation:

c = a^T * b^T
c_ij = ∑_k=1:n { a_ki * b_jk}

multTransAB_aux(double, DMatrix1Row, DMatrix1Row, DMatrix1Row, @org.jetbrains.annotations.Nullable double[]) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multTransAB_aux(DMatrix1Row, DMatrix1Row, DMatrix1Row, @org.jetbrains.annotations.Nullable double[]) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multTransABlockMinus(double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerRankUpdate_DDRB

Performs the following operation on a block:

c = c - a^Ta

multTransABlockMinus_U(double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerRankUpdate_DDRB

Performs the following operation on the upper triangular portion of a block:

c = c - a^Ta

multTransABlockSet_lowerTriag(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

Performs a matrix multiplication on an single inner block where A is assumed to be lower triangular with diagonal elements equal to 1.

C = A^T * B

multTransABlockSet_lowerTriag(double[], double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

Performs a matrix multiplication on an single inner block where A is assumed to be lower triangular with diagonal elements equal to 1.

C = A^T * B

multTransB(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multTransB(double, DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

multTransB(double, DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the following operation:

c = α * a * b^T
c_ij = α*∑_k=1:n { a_ik * b_jk}

multTransB(double, DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the following operation:

c = α * a * b^T
c_ij = α*∑_k=1:n { a_ik * b_jk}

multTransB(double, DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the following operation:

c = α * a * b^T
c_ij = α*∑_k=1:n { a_ik * b_jk}

multTransB(double, DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the following operation:

c = α * a * b^T
c_ij = α*∑_k=1:n { a_ik * b_jk}

multTransB(double, DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the following operation:

c = α * a * b^T
c_ij = α*∑_k=1:n { a_ik * b_jk}

multTransB(double, T, T, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the following operation:

c = α * a * b^T
c_ij = α ∑_k=1:n { a_ik * b_jk}

multTransB(double, T, T, T) - Static method in class org.ejml.dense.row.CommonOps_MT_DDRM

Performs the following operation:

c = α * a * b^T
c_ij = α ∑_k=1:n { a_ik * b_jk}

multTransB(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.MatrixMult_DDRB

Performs a matrix multiplication with a transpose on DMatrixRBlock submatrices.

c = a * b ^T

multTransB(int, DSubmatrixD1, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.MatrixMult_MT_DDRB

Performs a matrix multiplication with a transpose on DMatrixRBlock submatrices.

c = a * b ^T

multTransB(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_DDRM

multTransB(DMatrix1Row, DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMatrixMult_MT_DDRM

multTransB(DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the following operation:

c = a * b^T
c_ij = ∑_k=1:n { a_ik * b_jk}

multTransB(DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the following operation:

c = a * b^T
c_ij = ∑_k=1:n { a_ik * b_jk}

multTransB(DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the following operation:

c = a * b^T
c_ij = ∑_k=1:n { a_ik * b_jk}

multTransB(DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the following operation:

c = a * b^T
c_ij = ∑_k=1:n { a_ik * b_jk}

multTransB(DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the following operation:

c = a * b^T
c_ij = ∑_k=1:n { a_ik * b_jk}

multTransB(DMatrixRBlock, DMatrixRBlock, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

multTransB(DMatrixRBlock, DMatrixRBlock, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_MT_DDRB

multTransB(T, T, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the following operation:

c = a * b^T
c_ij = ∑_k=1:n { a_ik * b_jk}

multTransB(T, T, T) - Static method in class org.ejml.dense.row.CommonOps_MT_DDRM

Performs the following operation:

c = a * b^T
c_ij = ∑_k=1:n { a_ik * b_jk}

multTransBBlockMinus(double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerRankUpdate_DDRB

Performs the following operation on a block:

c = c - a*a^T

multTransBBlockMinus_L(double[], double[], int, int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerRankUpdate_DDRB

Performs the following operation on the lower triangular portion of a block:

c = c - a*a^T

N

n - Variable in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM

n - Variable in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

N - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

N - Variable in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM

N - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

next(DMatrixRMaj) - Method in class org.ejml.dense.row.CovarianceRandomDraw_DDRM

Makes a draw on the distribution.

nextExceptional - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

nextSplit() - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

Tells it to process the submatrix at the next split.

nextSplit() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

Tells it to process the submatrix at the next split.

norm2Solution - Variable in class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM

normalizeF(DMatrix2) - Static method in class org.ejml.dense.fixed.NormOps_DDF2

normalizeF(DMatrix2x2) - Static method in class org.ejml.dense.fixed.NormOps_DDF2

normalizeF(DMatrix3) - Static method in class org.ejml.dense.fixed.NormOps_DDF3

normalizeF(DMatrix3x3) - Static method in class org.ejml.dense.fixed.NormOps_DDF3

normalizeF(DMatrix4) - Static method in class org.ejml.dense.fixed.NormOps_DDF4

normalizeF(DMatrix4x4) - Static method in class org.ejml.dense.fixed.NormOps_DDF4

normalizeF(DMatrix5) - Static method in class org.ejml.dense.fixed.NormOps_DDF5

normalizeF(DMatrix5x5) - Static method in class org.ejml.dense.fixed.NormOps_DDF5

normalizeF(DMatrix6) - Static method in class org.ejml.dense.fixed.NormOps_DDF6

normalizeF(DMatrix6x6) - Static method in class org.ejml.dense.fixed.NormOps_DDF6

normalizeF(DMatrixRMaj) - Static method in class org.ejml.dense.row.NormOps_DDRM

Normalizes the matrix such that the Frobenius norm is equal to one.

normF(DMatrix2) - Static method in class org.ejml.dense.fixed.NormOps_DDF2

normF(DMatrix2x2) - Static method in class org.ejml.dense.fixed.NormOps_DDF2

normF(DMatrix3) - Static method in class org.ejml.dense.fixed.NormOps_DDF3

normF(DMatrix3x3) - Static method in class org.ejml.dense.fixed.NormOps_DDF3

normF(DMatrix4) - Static method in class org.ejml.dense.fixed.NormOps_DDF4

normF(DMatrix4x4) - Static method in class org.ejml.dense.fixed.NormOps_DDF4

normF(DMatrix5) - Static method in class org.ejml.dense.fixed.NormOps_DDF5

normF(DMatrix5x5) - Static method in class org.ejml.dense.fixed.NormOps_DDF5

normF(DMatrix6) - Static method in class org.ejml.dense.fixed.NormOps_DDF6

normF(DMatrix6x6) - Static method in class org.ejml.dense.fixed.NormOps_DDF6

normF(DMatrixD1) - Static method in class org.ejml.dense.row.NormOps_DDRM

Computes the Frobenius matrix norm:

normF = Sqrt{ ∑_i=1:m ∑_j=1:n { a_ij²} }

NormOps_DDF2 - Class in org.ejml.dense.fixed

Matrix norm related operations for fixed sized matrices of size 2.

NormOps_DDF2() - Constructor for class org.ejml.dense.fixed.NormOps_DDF2

NormOps_DDF3 - Class in org.ejml.dense.fixed

Matrix norm related operations for fixed sized matrices of size 3.

NormOps_DDF3() - Constructor for class org.ejml.dense.fixed.NormOps_DDF3

NormOps_DDF4 - Class in org.ejml.dense.fixed

Matrix norm related operations for fixed sized matrices of size 4.

NormOps_DDF4() - Constructor for class org.ejml.dense.fixed.NormOps_DDF4

NormOps_DDF5 - Class in org.ejml.dense.fixed

Matrix norm related operations for fixed sized matrices of size 5.

NormOps_DDF5() - Constructor for class org.ejml.dense.fixed.NormOps_DDF5

NormOps_DDF6 - Class in org.ejml.dense.fixed

Matrix norm related operations for fixed sized matrices of size 6.

NormOps_DDF6() - Constructor for class org.ejml.dense.fixed.NormOps_DDF6

NormOps_DDRM - Class in org.ejml.dense.row

Norms are a measure of the size of a vector or a matrix.

NormOps_DDRM() - Constructor for class org.ejml.dense.row.NormOps_DDRM

normP(DMatrixRMaj, double) - Static method in class org.ejml.dense.row.NormOps_DDRM

Computes either the vector p-norm or the induced matrix p-norm depending on A being a vector or a matrix respectively.

normP1(DMatrixRMaj) - Static method in class org.ejml.dense.row.NormOps_DDRM

Computes the p=1 norm.

normP2(DMatrixRMaj) - Static method in class org.ejml.dense.row.NormOps_DDRM

Computes the p=2 norm.

normPInf(DMatrixRMaj) - Static method in class org.ejml.dense.row.NormOps_DDRM

Computes the p=∞ norm.

normsCol - Variable in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM

nullity(DMatrixRMaj) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Computes the nullity of a matrix using the default tolerance.

nullity(DMatrixRMaj, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Computes the nullity of a matrix using the specified tolerance.

nullity(DMatrixRMaj, double) - Static method in class org.ejml.dense.row.SingularOps_DDRM

Returns the matrix's nullity

nullity(SingularValueDecomposition_F64<?>) - Static method in class org.ejml.dense.row.SingularOps_DDRM

Extracts the nullity of a matrix using a preexisting decomposition and default threshold.

nullity(SingularValueDecomposition_F64<?>, double) - Static method in class org.ejml.dense.row.SingularOps_DDRM

Extracts the nullity of a matrix using a preexisting decomposition.

nullSpace(SingularValueDecomposition_F64<DMatrixRMaj>, DMatrixRMaj, double) - Static method in class org.ejml.dense.row.SingularOps_DDRM

Returns the null-space from the singular value decomposition.

nullspaceQR(DMatrixRMaj, int) - Static method in class org.ejml.dense.row.SingularOps_DDRM

Computes the null space using QR decomposition.

nullspaceQRP(DMatrixRMaj, int) - Static method in class org.ejml.dense.row.SingularOps_DDRM

Computes the null space using QRP decomposition.

nullspaceSVD(DMatrixRMaj, int) - Static method in class org.ejml.dense.row.SingularOps_DDRM

Computes the null space using SVD.

nullVector(SingularValueDecomposition_F64<DMatrixRMaj>, boolean, DMatrixRMaj) - Static method in class org.ejml.dense.row.SingularOps_DDRM

The vector associated will the smallest singular value is returned as the null space of the decomposed system.

numberOfSingularValues() - Method in class org.ejml.dense.row.decomposition.svd.SafeSvd_DDRM

numberOfSingularValues() - Method in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

numCols - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM

numCols - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM

numCols - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM

numCols - Variable in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

numCols - Variable in class org.ejml.dense.row.linsol.LinearSolverAbstract_DDRM

numCols() - Method in class org.ejml.dense.row.decomposition.svd.SafeSvd_DDRM

numCols() - Method in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

numColsT - Variable in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

numExceptional - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

numExceptional - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

numRows - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM

numRows - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM

numRows - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM

numRows - Variable in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

numRows - Variable in class org.ejml.dense.row.linsol.LinearSolverAbstract_DDRM

numRows() - Method in class org.ejml.dense.row.decomposition.svd.SafeSvd_DDRM

numRows() - Method in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

numRowsT - Variable in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

numSplits - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

numSplits - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

O

off - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

off - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

org.ejml.dense.block - package org.ejml.dense.block

org.ejml.dense.block.decomposition.bidiagonal - package org.ejml.dense.block.decomposition.bidiagonal

org.ejml.dense.block.decomposition.chol - package org.ejml.dense.block.decomposition.chol

org.ejml.dense.block.decomposition.hessenberg - package org.ejml.dense.block.decomposition.hessenberg

org.ejml.dense.block.decomposition.qr - package org.ejml.dense.block.decomposition.qr

org.ejml.dense.block.linsol.chol - package org.ejml.dense.block.linsol.chol

org.ejml.dense.block.linsol.qr - package org.ejml.dense.block.linsol.qr

org.ejml.dense.fixed - package org.ejml.dense.fixed

org.ejml.dense.row - package org.ejml.dense.row

org.ejml.dense.row.decomposition - package org.ejml.dense.row.decomposition

org.ejml.dense.row.decomposition.bidiagonal - package org.ejml.dense.row.decomposition.bidiagonal

org.ejml.dense.row.decomposition.chol - package org.ejml.dense.row.decomposition.chol

org.ejml.dense.row.decomposition.eig - package org.ejml.dense.row.decomposition.eig

org.ejml.dense.row.decomposition.eig.symm - package org.ejml.dense.row.decomposition.eig.symm

org.ejml.dense.row.decomposition.eig.watched - package org.ejml.dense.row.decomposition.eig.watched

org.ejml.dense.row.decomposition.hessenberg - package org.ejml.dense.row.decomposition.hessenberg

org.ejml.dense.row.decomposition.lu - package org.ejml.dense.row.decomposition.lu

org.ejml.dense.row.decomposition.qr - package org.ejml.dense.row.decomposition.qr

org.ejml.dense.row.decomposition.svd - package org.ejml.dense.row.decomposition.svd

org.ejml.dense.row.decomposition.svd.implicitqr - package org.ejml.dense.row.decomposition.svd.implicitqr

org.ejml.dense.row.factory - package org.ejml.dense.row.factory

org.ejml.dense.row.linsol - package org.ejml.dense.row.linsol

org.ejml.dense.row.linsol.chol - package org.ejml.dense.row.linsol.chol

org.ejml.dense.row.linsol.lu - package org.ejml.dense.row.linsol.lu

org.ejml.dense.row.linsol.qr - package org.ejml.dense.row.linsol.qr

org.ejml.dense.row.linsol.svd - package org.ejml.dense.row.linsol.svd

org.ejml.dense.row.misc - package org.ejml.dense.row.misc

org.ejml.dense.row.mult - package org.ejml.dense.row.mult

org.ejml.generic - package org.ejml.generic

orthogonal(int, int, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM

Creates a random orthogonal or isometric matrix, depending on the number of rows and columns.

outer(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.MatrixMultProduct_DDRM

outerProd(DMatrixD1, DMatrixD1, DMatrix1Row) - Static method in class org.ejml.dense.row.mult.VectorVectorMult_DDRM

Sets A ∈ ℜ ^{m × n} equal to an outer product multiplication of the two vectors.

P

paint(Graphics) - Method in class org.ejml.dense.row.DMatrixComponent

performImplicitDoubleStep(int, int, double, double) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

Performs an implicit double step given the set of two imaginary eigenvalues provided.

performImplicitSingleStep(double, boolean) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

performImplicitSingleStep(double, double, boolean) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

Given the lambda value perform an implicit QR step on the matrix.

performImplicitSingleStep(int, int, double) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

performStep() - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQrAlgorithm_DDRM

First looks for zeros and then performs the implicit single step in the QR Algorithm.

permuteRowInv(int[], DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Applies the row permutation specified by the vector to the input matrix and save the results in the output matrix.

pinv(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Computes the Moore-Penrose pseudo-inverse:

pinv(A) = (A^TA)^-1 A^T
or
pinv(A) = A^T(AA^T)^-1

pivot - Variable in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

pivotMatrix(DMatrixRMaj, int[], int, boolean) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM

Creates a pivot matrix that exchanges the rows in a matrix:
A' = P*A

pivots - Variable in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM

pivsign - Variable in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

prefComputeU - Variable in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

prefComputeV - Variable in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

printMatrix() - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

printMatrix() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

printSteps() - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

process() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

process(double[]) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

Perform a sequence of steps based off of the singular values provided.

process(int, @org.jetbrains.annotations.Nullable double[], @org.jetbrains.annotations.Nullable double[]) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQrAlgorithm_DDRM

process(int, @org.jetbrains.annotations.Nullable double[], @org.jetbrains.annotations.Nullable double[], double[]) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQrAlgorithm_DDRM

Computes the eigenvalue of the provided tridiagonal matrix.

process(DMatrixRMaj) - Method in interface org.ejml.dense.row.decomposition.eig.EigenvalueExtractor_DDRM

process(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvalue_DDRM

process(DMatrixRMaj, int, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.SolveNullSpaceQR_DDRM

Finds the null space of A

process(DMatrixRMaj, int, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.SolveNullSpaceQRP_DDRM

Finds the null space of A

process(DMatrixRMaj, int, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.svd.SolveNullSpaceSvd_DDRM

process(WatchedDoubleStepQREigen_DDRM, DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvector_DDRM

pseudoInverse(boolean) - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_DDRM

Returns a solver which uses the pseudo inverse.

Q

Q - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

Q - Variable in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

Q - Variable in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM

qr() - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM

qr() - Static method in class org.ejml.dense.row.factory.DecompositionFactory_MT_DDRM

qr(int, int) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM

Returns a QRDecomposition that has been optimized for the specified matrix size.

qr(int, int) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_MT_DDRM

Returns a QRDecomposition that has been optimized for the specified matrix size.

qr(int, int) - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_DDRM

Creates a linear solver using QR decomposition

qr(int, int) - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_MT_DDRM

Creates a linear solver using QR decomposition

QR - Variable in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_DDRB

QR - Variable in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_MT_DDRB

QR - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM

Where the Q and R matrices are stored.

QR - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM

Where the Q and R matrices are stored.

QR - Variable in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM

qralg - Variable in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

QRColPivDecompositionHouseholderColumn_DDRM - Class in org.ejml.dense.row.decomposition.qr

Performs QR decomposition with column pivoting.

QRColPivDecompositionHouseholderColumn_DDRM() - Constructor for class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM

QRColPivDecompositionHouseholderColumn_DDRM(double) - Constructor for class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM

Configure parameters.

QRDecomposition_DDRB_to_DDRM - Class in org.ejml.dense.row.decomposition.qr

Wrapper that allows QRDecomposition(DMatrixRBlock) to be used as a QRDecomposition(DMatrixRMaj).

QRDecomposition_DDRB_to_DDRM() - Constructor for class org.ejml.dense.row.decomposition.qr.QRDecomposition_DDRB_to_DDRM

QRDecompositionHouseholder_DDRB - Class in org.ejml.dense.block.decomposition.qr

QR decomposition for DMatrixRBlock using householder reflectors.

QRDecompositionHouseholder_DDRB() - Constructor for class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_DDRB

QRDecompositionHouseholder_DDRM - Class in org.ejml.dense.row.decomposition.qr

This variation of QR decomposition uses reflections to compute the Q matrix.

QRDecompositionHouseholder_DDRM() - Constructor for class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM

QRDecompositionHouseholder_MT_DDRB - Class in org.ejml.dense.block.decomposition.qr

QR decomposition for DMatrixRBlock using householder reflectors.

QRDecompositionHouseholder_MT_DDRB() - Constructor for class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_MT_DDRB

QRDecompositionHouseholderColumn_DDRM - Class in org.ejml.dense.row.decomposition.qr

Householder QR decomposition is rich in operations along the columns of the matrix.

QRDecompositionHouseholderColumn_DDRM() - Constructor for class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM

QRDecompositionHouseholderColumn_MT_DDRM - Class in org.ejml.dense.row.decomposition.qr

Concurrent extension of QRDecompositionHouseholderColumn_DDRM.

QRDecompositionHouseholderColumn_MT_DDRM() - Constructor for class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_MT_DDRM

QRDecompositionHouseholderTran_DDRM - Class in org.ejml.dense.row.decomposition.qr

Householder QR decomposition is rich in operations along the columns of the matrix.

QRDecompositionHouseholderTran_DDRM() - Constructor for class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM

QrHelperFunctions_DDRM - Class in org.ejml.dense.row.decomposition.qr

Contains different functions that are useful for computing the QR decomposition of a matrix.

QrHelperFunctions_DDRM() - Constructor for class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_DDRM

QrHelperFunctions_MT_DDRM - Class in org.ejml.dense.row.decomposition.qr

Contains different functions that are useful for computing the QR decomposition of a matrix.

QrHelperFunctions_MT_DDRM() - Constructor for class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_MT_DDRM

QrHouseHolderSolver_DDRB - Class in org.ejml.dense.block.linsol.qr

A solver for QRDecompositionHouseholder_DDRB.

QrHouseHolderSolver_DDRB() - Constructor for class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_DDRB

QrHouseHolderSolver_MT_DDRB - Class in org.ejml.dense.block.linsol.qr

A solver for QRDecompositionHouseholder_MT_DDRB.

QrHouseHolderSolver_MT_DDRB() - Constructor for class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_MT_DDRB

qrp() - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM

qrp(boolean, boolean) - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_DDRM

Creates a linear solver using QRP decomposition

qrp(int, int) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM

Returns a QRPDecomposition_F64 that has been optimized for the specified matrix size.

QrUpdate_DDRM - Class in org.ejml.dense.row.decomposition.qr

The effects of adding and removing rows from the A matrix in a QR decomposition can be computed much faster than simply recomputing the whole decomposition.

QrUpdate_DDRM() - Constructor for class org.ejml.dense.row.decomposition.qr.QrUpdate_DDRM

Does not predeclare data and it will autogrow.

QrUpdate_DDRM(int, int) - Constructor for class org.ejml.dense.row.decomposition.qr.QrUpdate_DDRM

Creates an update which can decompose matrices up to the specified size.

QrUpdate_DDRM(int, int, boolean) - Constructor for class org.ejml.dense.row.decomposition.qr.QrUpdate_DDRM

Creates an update which can decompose matrices up to the specified size.

QT - Variable in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM

Only the upper right triangle is used.

quality() - Method in class org.ejml.dense.block.linsol.chol.CholeskyOuterSolver_DDRB

quality() - Method in class org.ejml.dense.block.linsol.chol.CholeskyOuterSolver_MT_DDRB

quality() - Method in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_DDRB

Computes the quality using diagonal elements the triangular R matrix in the QR decomposition.

quality() - Method in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_MT_DDRB

Computes the quality using diagonal elements the triangular R matrix in the QR decomposition.

quality() - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

quality() - Method in class org.ejml.dense.row.linsol.chol.LinearSolverChol_DDRM

quality() - Method in class org.ejml.dense.row.linsol.chol.LinearSolverCholLDL_DDRM

quality() - Method in class org.ejml.dense.row.linsol.LinearSolver_DDRB_to_DDRM

quality() - Method in class org.ejml.dense.row.linsol.LinearSolverUnrolled_DDRM

quality() - Method in class org.ejml.dense.row.linsol.lu.LinearSolverLuBase_DDRM

quality() - Method in class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM

quality() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM

quality() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouse_DDRM

quality() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM

quality() - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseTran_DDRM

quality() - Method in class org.ejml.dense.row.linsol.svd.SolvePseudoInverseSvd_DDRM

quality(DMatrixRMaj, DMatrixRMaj, DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM

quality(DMatrixRMaj, EigenDecomposition_F64<DMatrixRMaj>) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM

Computes a metric which measures the the quality of an eigen value decomposition.

quality(DMatrixRMaj, SingularValueDecomposition<DMatrixRMaj>) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM

Computes a metric which measures the the quality of a singular value decomposition.

qualityTriangular(DMatrixD1) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM

Computes the quality of a triangular matrix, where the quality of a matrix is defined in LinearSolver.quality().

R

R - Variable in class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM

R - Variable in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM

R - Variable in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM

R11 - Variable in class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM

rand - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

rand - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

randomBinary(int, int, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM

Returns new boolean matrix with true or false values selected with equal probability.

RandomMatrices_DDRM - Class in org.ejml.dense.row

Contains a list of functions for creating random row real matrices and vectors with different structures.

RandomMatrices_DDRM() - Constructor for class org.ejml.dense.row.RandomMatrices_DDRM

randomVector(DMatrixRMaj, DMatrixRMaj, Random) - Static method in class org.ejml.dense.row.CovarianceOps_DDRM

Sets vector to a random value based upon a zero-mean multivariate Gaussian distribution with covariance 'cov'.

rank - Variable in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM

rank - Variable in class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM

rank(DMatrixRMaj) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Computes the rank of a matrix using a default tolerance.

rank(DMatrixRMaj) - Static method in class org.ejml.dense.row.SingularOps_DDRM

Returns the matrix's rank.

rank(DMatrixRMaj, double) - Static method in class org.ejml.dense.row.MatrixFeatures_DDRM

Computes the rank of a matrix using the specified tolerance.

rank(DMatrixRMaj, double) - Static method in class org.ejml.dense.row.SingularOps_DDRM

Returns the matrix's rank

rank(SingularValueDecomposition_F64<?>) - Static method in class org.ejml.dense.row.SingularOps_DDRM

Extracts the rank of a matrix using a preexisting decomposition and default threshold.

rank(SingularValueDecomposition_F64<?>, double) - Static method in class org.ejml.dense.row.SingularOps_DDRM

Extracts the rank of a matrix using a preexisting decomposition.

rank1Update(double, DMatrixRMaj, DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.mult.VectorVectorMult_DDRM

Performs a rank one update on matrix A using vectors u and w.

rank1Update(double, DMatrixRMaj, DMatrixRMaj, DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.mult.VectorVectorMult_DDRM

Performs a rank one update on matrix A using vectors u and w.

rank1UpdateMultL(DMatrixRMaj, double[], double, int, int, int) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_DDRM

Performs a rank-1 update operation on the submatrix specified by w with the multiply on the left.

A = A(I - γ*u*u^T)

rank1UpdateMultL(DMatrixRMaj, double[], double, int, int, int) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_MT_DDRM

Performs a rank-1 update operation on the submatrix specified by w with the multiply on the left.

A = A(I - γ*u*u^T)

rank1UpdateMultL(DMatrixRMaj, double, int, int, int) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM

rank1UpdateMultL(DMatrixRMaj, double, int, int, int) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_MT_DDRM

rank1UpdateMultL(DMatrixRMaj, double, int, int, int) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

rank1UpdateMultL(DMatrixRMaj, double, int, int, int) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_MT_DDRM

rank1UpdateMultL(DMatrixRMaj, double, int, int, int) - Method in class org.ejml.dense.row.decomposition.hessenberg.HessenbergSimilarDecomposition_DDRM

rank1UpdateMultL(DMatrixRMaj, double, int, int, int) - Method in class org.ejml.dense.row.decomposition.hessenberg.HessenbergSimilarDecomposition_MT_DDRM

rank1UpdateMultL(DMatrixRMaj, double, int, int, int) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM

rank1UpdateMultL(DMatrixRMaj, double, int, int, int) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_MT_DDRM

rank1UpdateMultL_LeftCol(int, DSubmatrixD1, int, double, int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

Applies a householder reflector stored in row 'row' to the left column block.

rank1UpdateMultL_LeftCol(int, DSubmatrixD1, int, double, int) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

Applies a householder reflector stored in row 'row' to the left column block.

rank1UpdateMultL_Row(int, DSubmatrixD1, int, int, double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

Applies a householder reflector stored in row 'row' to the remainder of the row in the block after it.

rank1UpdateMultL_Row(int, DSubmatrixD1, int, int, double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

Applies a householder reflector stored in row 'row' to the remainder of the row in the block after it.

rank1UpdateMultR(DMatrixRMaj, double[], double, int, int, int, double[]) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_DDRM

Performs a rank-1 update operation on the submatrix specified by w with the multiply on the right.

A = (I - γ*u*u^T)*A

rank1UpdateMultR(DMatrixRMaj, double[], double, int, int, int, double[]) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_MT_DDRM

Performs a rank-1 update operation on the submatrix specified by w with the multiply on the right.

A = (I - γ*u*u^T)*A

rank1UpdateMultR(DMatrixRMaj, double[], int, double, int, int, int, double[]) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_DDRM

rank1UpdateMultR(DMatrixRMaj, double[], int, double, int, int, int, double[]) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_MT_DDRM

rank1UpdateMultR(DMatrixRMaj, double, int, int, int) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM

rank1UpdateMultR(DMatrixRMaj, double, int, int, int) - Method in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_MT_DDRM

rank1UpdateMultR(DMatrixRMaj, double, int, int, int) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

rank1UpdateMultR(DMatrixRMaj, double, int, int, int) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_MT_DDRM

rank1UpdateMultR(DMatrixRMaj, double, int, int, int) - Method in class org.ejml.dense.row.decomposition.hessenberg.HessenbergSimilarDecomposition_DDRM

rank1UpdateMultR(DMatrixRMaj, double, int, int, int) - Method in class org.ejml.dense.row.decomposition.hessenberg.HessenbergSimilarDecomposition_MT_DDRM

rank1UpdateMultR(DMatrixRMaj, double, int, int, int) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM

rank1UpdateMultR(DMatrixRMaj, double, int, int, int) - Method in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_MT_DDRM

rank1UpdateMultR_Col(int, DSubmatrixD1, int, double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

Applies a householder reflector stored in column 'col' to the remainder of the columns in the block after it.

rank1UpdateMultR_Col(int, DSubmatrixD1, int, double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

Applies a householder reflector stored in column 'col' to the remainder of the columns in the block after it.

rank1UpdateMultR_TopRow(int, DSubmatrixD1, int, double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

Applies a householder reflector stored in column 'col' to the top block row (excluding the first column) of A.

rank1UpdateMultR_TopRow(int, DSubmatrixD1, int, double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

Applies a householder reflector stored in column 'col' to the top block row (excluding the first column) of A.

rank1UpdateMultR_u0(DMatrixRMaj, double[], double, double, int, int, int, double[]) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_DDRM

rank1UpdateMultR_u0(DMatrixRMaj, double[], double, double, int, int, int, double[]) - Static method in class org.ejml.dense.row.decomposition.qr.QrHelperFunctions_MT_DDRM

rankNUpdate(int, double, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.InnerRankUpdate_DDRB

Performs:

A = A + α B ^TB

rankNUpdate(int, double, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.InnerRankUpdate_MT_DDRB

Performs:

A = A + α B ^TB

ratioSmallestOverLargest(double[]) - Static method in class org.ejml.dense.row.SingularOps_DDRM

Computes the ratio of the smallest value to the largest.

rectangle(int, int, double, double, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM

Returns a matrix where all the elements are selected independently from a uniform distribution between 'min' and 'max' inclusive.

rectangle(int, int, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM

Returns a matrix where all the elements are selected independently from a uniform distribution between 0 and 1 inclusive.

rectangleGaussian(int, int, double, double, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM

Sets each element in the matrix to a value drawn from an Gaussian distribution with the specified mean and standard deviation

reduce(DMatrixRMaj, int) - Method in class org.ejml.dense.row.misc.RrefGaussJordanRowPivot_DDRM

removeBulge(int) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

removeBulgeEnd(int) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

Rotator to remove the bulge

removeBulgeLeft(int, boolean) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

removeBulgeRight(int) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

removeColumns(DMatrixRMaj, int, int) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Removes columns from the matrix.

removeRowFromA(int) - Method in interface org.ejml.dense.row.linsol.AdjustableLinearSolver_DDRM

Removes a row from A.

removeRowFromA(int) - Method in class org.ejml.dense.row.linsol.qr.AdjLinearSolverQr_DDRM

renderMatrix(DMatrixD1, BufferedImage, double) - Static method in class org.ejml.dense.row.DMatrixComponent

reset(int) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

Sets the size of the matrix being decomposed, declares new memory if needed, and sets all helper functions to their initial value.

resetSteps() - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

resetSteps() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

rowsToVector(DMatrixRMaj, DMatrixRMaj[]) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Converts the rows in a matrix into a set of vectors.

rref(DMatrixRMaj, int, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Puts the augmented system matrix into reduced row echelon form (RREF) using Gauss-Jordan elimination with row (partial) pivots.

RrefGaussJordanRowPivot_DDRM - Class in org.ejml.dense.row.misc

Reduction to RREF using Gauss-Jordan elimination with row (partial) pivots.

RrefGaussJordanRowPivot_DDRM() - Constructor for class org.ejml.dense.row.misc.RrefGaussJordanRowPivot_DDRM

S

SafeSvd_DDRM - Class in org.ejml.dense.row.decomposition.svd

Wraps around a SingularValueDecomposition and ensures that the input is not modified.

SafeSvd_DDRM(SingularValueDecomposition_F64<DMatrixRMaj>) - Constructor for class org.ejml.dense.row.decomposition.svd.SafeSvd_DDRM

scale(double, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs an in-place element by element scalar multiplication.

a_ij = α*a_ij

scale(double, DMatrix2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs an element by element scalar multiplication.

b_i = α*a_i

scale(double, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs an in-place element by element scalar multiplication.

a_ij = α*a_ij

scale(double, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs an element by element scalar multiplication.

b_ij = α*a_ij

scale(double, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs an in-place element by element scalar multiplication.

a_ij = α*a_ij

scale(double, DMatrix3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs an element by element scalar multiplication.

b_i = α*a_i

scale(double, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs an in-place element by element scalar multiplication.

a_ij = α*a_ij

scale(double, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs an element by element scalar multiplication.

b_ij = α*a_ij

scale(double, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs an in-place element by element scalar multiplication.

a_ij = α*a_ij

scale(double, DMatrix4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs an element by element scalar multiplication.

b_i = α*a_i

scale(double, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs an in-place element by element scalar multiplication.

a_ij = α*a_ij

scale(double, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs an element by element scalar multiplication.

b_ij = α*a_ij

scale(double, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs an in-place element by element scalar multiplication.

a_ij = α*a_ij

scale(double, DMatrix5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs an element by element scalar multiplication.

b_i = α*a_i

scale(double, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs an in-place element by element scalar multiplication.

a_ij = α*a_ij

scale(double, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs an element by element scalar multiplication.

b_ij = α*a_ij

scale(double, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs an in-place element by element scalar multiplication.

a_ij = α*a_ij

scale(double, DMatrix6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs an element by element scalar multiplication.

b_i = α*a_i

scale(double, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs an in-place element by element scalar multiplication.

a_ij = α*a_ij

scale(double, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs an element by element scalar multiplication.

b_ij = α*a_ij

scale(double, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs an in-place element by element scalar multiplication.

a_ij = α*a_ij

scale(double, DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs an element by element scalar multiplication.

b_ij = α*a_ij

scale_row(int, DSubmatrixD1, int, double, DSubmatrixD1, int, int, int) - Static method in class org.ejml.dense.block.VectorOps_DDRB

Row vector scale:
scale: b_i = α*a_i
where 'a' and 'b' are row vectors within the row block vector A and B.

scale_row(int, DSubmatrixD1, DSubmatrixD1, int, int, double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_DDRB

Scales the elements in the specified row starting at element colStart by 'val'.
W = val*Y Takes in account zeros and leading one automatically.

scale_row(int, DSubmatrixD1, DSubmatrixD1, int, int, double) - Static method in class org.ejml.dense.block.decomposition.qr.BlockHouseHolder_MT_DDRB

Scales the elements in the specified row starting at element colStart by 'val'.
W = val*Y Takes in account zeros and leading one automatically.

scaleCol(double, DMatrixRMaj, int) - Static method in class org.ejml.dense.row.CommonOps_DDRM

In-place scaling of a column in A

scaleRow(double, DMatrixRMaj, int) - Static method in class org.ejml.dense.row.CommonOps_DDRM

In-place scaling of a row in A

selectWilkinsonShift(double) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

Selects the Wilkinson's shift for B^TB.

set(DMatrixRBlock, double) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

Sets every element in the matrix to the specified value.

a_ij = value

setA(DMatrixRBlock) - Method in class org.ejml.dense.block.linsol.chol.CholeskyOuterSolver_DDRB

Decomposes and overwrites the input matrix.

setA(DMatrixRBlock) - Method in class org.ejml.dense.block.linsol.chol.CholeskyOuterSolver_MT_DDRB

Decomposes and overwrites the input matrix.

setA(DMatrixRBlock) - Method in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_DDRB

Computes the QR decomposition of A and store the results in A.

setA(DMatrixRBlock) - Method in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_MT_DDRB

Computes the QR decomposition of A and store the results in A.

setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.chol.LinearSolverChol_DDRM

setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.chol.LinearSolverCholLDL_DDRM

setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.LinearSolver_DDRB_to_DDRM

Converts 'A' into a block matrix and call setA() on the block matrix solver.

setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.LinearSolverUnrolled_DDRM

setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.lu.LinearSolverLuBase_DDRM

setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.lu.LinearSolverLuKJI_DDRM

setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM

setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM

Performs QR decomposition on A

setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouse_DDRM

Performs QR decomposition on A

setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM

Performs QR decomposition on A

setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseTran_DDRM

Performs QR decomposition on A

setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.SolvePseudoInverseQrp_DDRM

setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.svd.SolvePseudoInverseSvd_DDRM

setChecks(boolean, boolean, boolean) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

setComputeVectorsWithValues(boolean) - Method in class org.ejml.dense.row.decomposition.eig.SymmetricQRAlgorithmDecomposition_DDRM

setExpectedMaxSize(int, int) - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionBlock_DDRM

Declares additional internal data structures.

setExpectedMaxSize(int, int) - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM

setExpectedMaxSize(int, int) - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionLDL_DDRM

setExpectedMaxSize(int, int) - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

setExpectedMaxSize(int, int) - Method in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM

setExpectedMaxSize(int, int) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM

setExpectedMaxSize(int, int) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM

setExpectedMaxSize(int, int) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM

setFastEigenvalues(boolean) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQrAlgorithm_DDRM

setFastValues(boolean) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

setIdentity(DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Sets all the diagonal elements equal to one and everything else equal to zero.

setIdentity(DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Sets all the diagonal elements equal to one and everything else equal to zero.

setIdentity(DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Sets all the diagonal elements equal to one and everything else equal to zero.

setIdentity(DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Sets all the diagonal elements equal to one and everything else equal to zero.

setIdentity(DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Sets all the diagonal elements equal to one and everything else equal to zero.

setIdentity(DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Sets all the diagonal elements equal to one and everything else equal to zero.

setIdentity(DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

Sets the value of A to all zeros except along the diagonal.

setMatrix(int, int, double[], double[]) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

setMatrix(DMatrixD1) - Method in class org.ejml.dense.row.DMatrixComponent

setMaxIterations(int) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQrAlgorithm_DDRM

setMaxIterations(int) - Method in class org.ejml.dense.row.decomposition.eig.SymmetricQRAlgorithmDecomposition_DDRM

Used to limit the number of internal QR iterations that the QR algorithm performs.

setMaxSize(int) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouse_DDRM

setMaxSize(int, int) - Method in class org.ejml.dense.row.linsol.qr.AdjLinearSolverQr_DDRM

setMaxSize(int, int) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM

Changes the size of the matrix it can solve for

setMaxSize(int, int) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM

setMaxSize(int, int) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseTran_DDRM

setMaxValue(double) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

setOptions(int, double) - Method in class org.ejml.dense.row.decomposition.eig.EigenPowerMethod_DDRM

setQ(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQrAlgorithm_DDRM

setQ(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

setQ(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

setRandom(DMatrix, double, double, Random) - Static method in class org.ejml.generic.GenericMatrixOps_F64

setRandomB(BMatrixRMaj, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM

Sets each element in the boolean matrix to true or false with equal probability

setSaveW(boolean) - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_DDRB

Sets if it should internally save the W matrix before performing the decomposition.

setSaveW(boolean) - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_MT_DDRB

Sets if it should internally save the W matrix before performing the decomposition.

setSeed(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.EigenPowerMethod_DDRM

Sets the value of the vector to use in the start of the iterations.

setSingularThreshold(double) - Method in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM

setSubmatrix(int, int) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

Sets which submatrix is being processed.

setSubmatrix(int, int) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

setSubMatrix(DMatrix1Row, DMatrix1Row, int, int, int, int, int, int) - Static method in class org.ejml.dense.row.mult.SubmatrixOps_DDRM

setThreshold(double) - Method in class org.ejml.dense.row.linsol.svd.SolvePseudoInverseSvd_DDRM

Specify the relative threshold used to select singular values.

setToInverseL(double[]) - Method in class org.ejml.dense.row.linsol.chol.LinearSolverChol_DDRM

Sets the matrix to the inverse using a lower triangular matrix.

setTolerance(double) - Method in class org.ejml.dense.row.misc.RrefGaussJordanRowPivot_DDRM

setup(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

setup(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvalue_DDRM

setupPivotInfo() - Method in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM

Sets the initial pivot ordering and compute the F-norm squared for each column

setUt(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

setVt(DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

show(DMatrixD1, String) - Static method in class org.ejml.dense.row.DMatrixVisualization

Creates a window visually showing the matrix's state.

singular(int, int, Random, double...) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM

Creates a random matrix which will have the provided singular values.

SingularOps_DDRM - Class in org.ejml.dense.row

Operations related to singular value decomposition.

SingularOps_DDRM() - Constructor for class org.ejml.dense.row.SingularOps_DDRM

singularThreshold - Variable in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM

singularThreshold(SingularValueDecomposition_F64<?>) - Static method in class org.ejml.dense.row.SingularOps_DDRM

Returns a reasonable threshold for singular values.

tol = max (size (A)) * largest sigma * eps;

singularThreshold(SingularValueDecomposition_F64<?>, double) - Static method in class org.ejml.dense.row.SingularOps_DDRM

singularValues(DMatrixRMaj) - Static method in class org.ejml.dense.row.SingularOps_DDRM

Returns an array of all the singular values in A sorted in ascending order

solve(int, boolean, DSubmatrixD1, DSubmatrixD1, boolean) - Static method in class org.ejml.dense.block.TriangularSolver_DDRB

Performs an in-place solve operation on the provided block aligned sub-matrices.

B = T^-1 B

where T is a triangular matrix.

solve(int, boolean, DSubmatrixD1, DSubmatrixD1, boolean) - Static method in class org.ejml.dense.block.TriangularSolver_MT_DDRB

Performs an in-place solve operation on the provided block aligned sub-matrices.

B = T^-1 B

where T is a triangular matrix.

solve(DMatrixRBlock, DMatrixRBlock) - Method in class org.ejml.dense.block.linsol.chol.CholeskyOuterSolver_DDRB

If X == null then the solution is written into B.

solve(DMatrixRBlock, DMatrixRBlock) - Method in class org.ejml.dense.block.linsol.chol.CholeskyOuterSolver_MT_DDRB

If X == null then the solution is written into B.

solve(DMatrixRBlock, DMatrixRBlock) - Method in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_DDRB

solve(DMatrixRBlock, DMatrixRBlock) - Method in class org.ejml.dense.block.linsol.qr.QrHouseHolderSolver_MT_DDRB

solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.chol.LinearSolverChol_DDRB

Only converts the B matrix and passes that onto solve.

solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.chol.LinearSolverChol_DDRM

Using the decomposition, finds the value of 'X' in the linear equation below:
A*x = b
where A has dimension of n by n, x and b are n by m dimension.

solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.chol.LinearSolverCholLDL_DDRM

Using the decomposition, finds the value of 'X' in the linear equation below:
A*x = b
where A has dimension of n by n, x and b are n by m dimension.

solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.LinearSolver_DDRB_to_DDRM

Converts B and X into block matrices and calls the block matrix solve routine.

solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.LinearSolverUnrolled_DDRM

solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.lu.LinearSolverLu_DDRM

solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.lu.LinearSolverLuKJI_DDRM

An other implementation of solve() that processes the matrices in a different order.

solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQr_DDRM

Solves for X using the QR decomposition.

solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouse_DDRM

Solves for X using the QR decomposition.

solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM

Solves for X using the QR decomposition.

solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_MT_DDRM

Solves for X using the QR decomposition.

solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseTran_DDRM

Solves for X using the QR decomposition.

solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.LinearSolverQrpHouseCol_DDRM

solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.SolvePseudoInverseQrp_DDRM

solve(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.svd.SolvePseudoInverseSvd_DDRM

solve(DMatrixRMaj, DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Solves for x in the following equation:

A*x = b

solveBlock(int, boolean, DSubmatrixD1, DSubmatrixD1, boolean, boolean) - Static method in class org.ejml.dense.block.TriangularSolver_DDRB

Performs an in-place solve operation where T is contained in a single block.

B = T^-1 B

where T is a triangular matrix contained in an inner block.

solveBlock(int, boolean, DSubmatrixD1, DSubmatrixD1, boolean, boolean) - Static method in class org.ejml.dense.block.TriangularSolver_MT_DDRB

Performs an in-place solve operation where T is contained in a single block.

B = T^-1 B

where T is a triangular matrix contained in an inner block.

solveL(double[], double[], int) - Static method in class org.ejml.dense.row.decomposition.TriangularSolver_DDRM

Solves for non-singular lower triangular matrices using forward substitution.

solveL(double[], double[], int, int) - Static method in class org.ejml.dense.row.decomposition.TriangularSolver_DDRM

L is a m by m matrix B is a m by n matrix

solveL(double[], double[], int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerTriangularSolver_DDRB

Solves for non-singular lower triangular matrices using forward substitution.

solveL(int, DSubmatrixD1, DSubmatrixD1, boolean) - Static method in class org.ejml.dense.block.TriangularSolver_DDRB

Solves lower triangular systems:

B = L^-1 B

solveL(int, DSubmatrixD1, DSubmatrixD1, boolean) - Static method in class org.ejml.dense.block.TriangularSolver_MT_DDRB

Solves lower triangular systems:

B = L^-1 B

solveL_special(double[], DMatrixRMaj, int, int, DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionBlock_DDRM

This is a variation on the TriangularSolver_DDRM.solveL(double[], double[], int) function.

solveL_special(double[], DMatrixRMaj, int, int, DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionBlock_MT_DDRM

solveLower(DMatrixRMaj, DMatrixRMaj, DMatrixRMaj, double[]) - Static method in class org.ejml.dense.row.linsol.chol.LinearSolverChol_DDRM

solveLTransB(double[], double[], int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerTriangularSolver_DDRB

Solves for non-singular lower triangular matrices using forward substitution.

SolveNullSpaceQR_DDRM - Class in org.ejml.dense.row.linsol.qr

Uses QR decomposition to find the null-space for a matrix of any shape if the number of singular values is known.

SolveNullSpaceQR_DDRM() - Constructor for class org.ejml.dense.row.linsol.qr.SolveNullSpaceQR_DDRM

SolveNullSpaceQRP_DDRM - Class in org.ejml.dense.row.linsol.qr

Uses QR decomposition to find the null-space for a matrix of any shape if the number of singular values is known.=

SolveNullSpaceQRP_DDRM() - Constructor for class org.ejml.dense.row.linsol.qr.SolveNullSpaceQRP_DDRM

SolveNullSpaceSvd_DDRM - Class in org.ejml.dense.row.linsol.svd

SolveNullSpaceSvd_DDRM() - Constructor for class org.ejml.dense.row.linsol.svd.SolveNullSpaceSvd_DDRM

SolvePseudoInverseQrp_DDRM - Class in org.ejml.dense.row.linsol.qr

A pseudo inverse solver for a generic QR column pivot decomposition algorithm.

SolvePseudoInverseQrp_DDRM(QRPDecomposition_F64<DMatrixRMaj>, boolean) - Constructor for class org.ejml.dense.row.linsol.qr.SolvePseudoInverseQrp_DDRM

Configure and provide decomposition

SolvePseudoInverseSvd_DDRM - Class in org.ejml.dense.row.linsol.svd

The pseudo-inverse is typically used to solve over determined system for which there is no unique solution.
x=inv(A^TA)A^Tb
where A ∈ ℜ ^{m × n} and m ≥ n.

SolvePseudoInverseSvd_DDRM() - Constructor for class org.ejml.dense.row.linsol.svd.SolvePseudoInverseSvd_DDRM

Creates a solver targeted at matrices around 100x100

SolvePseudoInverseSvd_DDRM(int, int) - Constructor for class org.ejml.dense.row.linsol.svd.SolvePseudoInverseSvd_DDRM

Creates a new solver targeted at the specified matrix size.

solveR(int, DSubmatrixD1, DSubmatrixD1, boolean) - Static method in class org.ejml.dense.block.TriangularSolver_DDRB

Solves upper triangular systems:

B = R^-1 B

solveR(int, DSubmatrixD1, DSubmatrixD1, boolean) - Static method in class org.ejml.dense.block.TriangularSolver_MT_DDRB

Solves upper triangular systems:

B = R^-1 B

solveSPD(DMatrixRMaj, DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Linear solver for systems which are symmetric positive definite.
A*x = b

solveTranL(double[], double[], int) - Static method in class org.ejml.dense.row.decomposition.TriangularSolver_DDRM

This is a forward substitution solver for non-singular lower triangular matrices.

solveTransL(double[], double[], int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerTriangularSolver_DDRB

Solves for non-singular transposed lower triangular matrices using backwards substitution:
B = L^-TB

where B is a (m by n) matrix, L is a lower triangular (m by m) matrix.

solveTransU(double[], double[], int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerTriangularSolver_DDRB

Solves for non-singular upper triangular matrices using forward substitution.

solveU(double[], double[], int) - Static method in class org.ejml.dense.row.decomposition.TriangularSolver_DDRM

This is a forward substitution solver for non-singular upper triangular matrices.

solveU(double[], double[], int, int, int) - Static method in class org.ejml.dense.row.decomposition.TriangularSolver_DDRM

solveU(double[], double[], int, int, int, int, int) - Static method in class org.ejml.dense.block.InnerTriangularSolver_DDRB

Solves for non-singular upper triangular matrices using backwards substitution.

solveU(double[], int, int, int, double[], int, int, int) - Static method in class org.ejml.dense.row.decomposition.TriangularSolver_DDRM

This is a forward substitution solver for non-singular upper triangular matrices which are a sub-matrix inside a larger.

span(int, int, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM

Creates a randomly generated set of orthonormal vectors.

SpecializedOps_DDRM - Class in org.ejml.dense.row

This contains less common or more specialized matrix operations.

SpecializedOps_DDRM() - Constructor for class org.ejml.dense.row.SpecializedOps_DDRM

splitIntoVectors(DMatrix1Row, boolean) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM

Takes a matrix and splits it into a set of row or column vectors.

splits - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

splits - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

square(DMatrix1Row) - Static method in class org.ejml.dense.row.misc.TransposeAlgs_DDRM

In-place transpose for a square matrix.

square(DMatrix1Row) - Static method in class org.ejml.dense.row.misc.TransposeAlgs_MT_DDRM

In-place transpose for a square matrix.

standard(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.misc.TransposeAlgs_DDRM

A straight forward transpose.

standard(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.misc.TransposeAlgs_MT_DDRM

A straight forward transpose.

steps - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

SubmatrixOps_DDRM - Class in org.ejml.dense.row.mult

Operations that are performed on a submatrix inside a larger matrix.

SubmatrixOps_DDRM() - Constructor for class org.ejml.dense.row.mult.SubmatrixOps_DDRM

subtract(double, T, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs matrix scalar subtraction:

c = val - a
c_ij = val - a_ij

subtract(DMatrix2, DMatrix2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the following operation:

c = a - b
c_i = a_i - b_i

subtract(DMatrix2x2, DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the following operation:

c = a - b
c_ij = a_ij - b_ij

subtract(DMatrix3, DMatrix3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the following operation:

c = a - b
c_i = a_i - b_i

subtract(DMatrix3x3, DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the following operation:

c = a - b
c_ij = a_ij - b_ij

subtract(DMatrix4, DMatrix4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the following operation:

c = a - b
c_i = a_i - b_i

subtract(DMatrix4x4, DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the following operation:

c = a - b
c_ij = a_ij - b_ij

subtract(DMatrix5, DMatrix5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the following operation:

c = a - b
c_i = a_i - b_i

subtract(DMatrix5x5, DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the following operation:

c = a - b
c_ij = a_ij - b_ij

subtract(DMatrix6, DMatrix6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the following operation:

c = a - b
c_i = a_i - b_i

subtract(DMatrix6x6, DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the following operation:

c = a - b
c_ij = a_ij - b_ij

subtract(T, double, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs matrix scalar subtraction:

c = a - val
c_ij = a_ij - val

subtract(T, T, T) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the following subtraction operation:

c = a - b
c_ij = a_ij - b_ij

subtractEquals(DMatrix2, DMatrix2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the following operation:

a = a - b
a_i = a_i - b_i

subtractEquals(DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs the following operation:

a = a - b
a_ij = a_ij - b_ij

subtractEquals(DMatrix3, DMatrix3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the following operation:

a = a - b
a_i = a_i - b_i

subtractEquals(DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs the following operation:

a = a - b
a_ij = a_ij - b_ij

subtractEquals(DMatrix4, DMatrix4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the following operation:

a = a - b
a_i = a_i - b_i

subtractEquals(DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs the following operation:

a = a - b
a_ij = a_ij - b_ij

subtractEquals(DMatrix5, DMatrix5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the following operation:

a = a - b
a_i = a_i - b_i

subtractEquals(DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs the following operation:

a = a - b
a_ij = a_ij - b_ij

subtractEquals(DMatrix6, DMatrix6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the following operation:

a = a - b
a_i = a_i - b_i

subtractEquals(DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs the following operation:

a = a - b
a_ij = a_ij - b_ij

subtractEquals(DMatrixD1, DMatrixD1) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs the following subtraction operation:

a = a - b
a_ij = a_ij - b_ij

subvector(DMatrix1Row, int, int, int, boolean, int, DMatrix1Row) - Static method in class org.ejml.dense.row.SpecializedOps_DDRM

Extracts a row or column vector from matrix A.

sumCols(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Computes the sum of each column in the input matrix and returns the results in a vector:

b_j = sum(i=1:m ; a_ij)

sumRows(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Computes the sum of each row in the input matrix and returns the results in a vector:

b_j = sum(i=1:n ; a_ji)

svd(boolean, boolean, boolean) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM

Returns a SingularValueDecomposition that is NOT optimized for any specified matrix size.

svd(boolean, boolean, boolean) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_MT_DDRM

Returns a SingularValueDecomposition that is NOT optimized for any specified matrix size.

svd(int, int, boolean, boolean, boolean) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM

Returns a SingularValueDecomposition that has been optimized for the specified matrix size.

svd(int, int, boolean, boolean, boolean) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_MT_DDRM

Returns a SingularValueDecomposition that has been optimized for the specified matrix size.

svd(DMatrixRMaj, DMatrixRMaj, DGrowArray, DMatrixRMaj) - Static method in class org.ejml.dense.row.SingularOps_DDRM

Computes the SVD and sorts singular values in descending order.

SvdImplicitQrAlgorithm_DDRM - Class in org.ejml.dense.row.decomposition.svd.implicitqr

Computes the QR decomposition of a bidiagonal matrix.

SvdImplicitQrAlgorithm_DDRM() - Constructor for class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

SvdImplicitQrAlgorithm_DDRM(boolean) - Constructor for class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

SvdImplicitQrDecompose_DDRM - Class in org.ejml.dense.row.decomposition.svd

Computes the Singular value decomposition of a matrix using the implicit QR algorithm for singular value decomposition.

SvdImplicitQrDecompose_DDRM(boolean, boolean, boolean, boolean) - Constructor for class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

Configures the class

SvdImplicitQrDecompose_MT_DDRM - Class in org.ejml.dense.row.decomposition.svd

Concurrent version of SvdImplicitQrDecompose_DDRM

SvdImplicitQrDecompose_MT_DDRM(boolean, boolean, boolean, boolean) - Constructor for class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_MT_DDRM

swapColumns(int) - Method in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM

Finds the column with the largest normal and makes that the first column

swapDiag(double[]) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

Exchanges the internal array of the diagonal elements for the provided one.

swapDiag(double[]) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

swapOff(double[]) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

Exchanges the internal array of the off diagonal elements for the provided one.

swapOff(double[]) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

swapRows(DMatrixRMaj, int, int) - Static method in class org.ejml.dense.row.misc.RrefGaussJordanRowPivot_DDRM

SwitchingEigenDecomposition_DDRM - Class in org.ejml.dense.row.decomposition.eig

Checks to see what type of matrix is being decomposed and calls different eigenvalue decomposition algorithms depending on the results.

SwitchingEigenDecomposition_DDRM(int) - Constructor for class org.ejml.dense.row.decomposition.eig.SwitchingEigenDecomposition_DDRM

SwitchingEigenDecomposition_DDRM(int, boolean, double) - Constructor for class org.ejml.dense.row.decomposition.eig.SwitchingEigenDecomposition_DDRM

SwitchingEigenDecomposition_DDRM(EigenDecomposition_F64<DMatrixRMaj>, EigenDecomposition_F64<DMatrixRMaj>, double) - Constructor for class org.ejml.dense.row.decomposition.eig.SwitchingEigenDecomposition_DDRM

symm2x2_fast(double, double, double) - Method in class org.ejml.dense.row.decomposition.eig.EigenvalueSmall_F64

Compute the symmetric eigenvalue using a slightly safer technique

symmetric(int, double, double, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM

Creates a random symmetric matrix whose values are selected from an uniform distribution from min to max, inclusive.

symmetric(DMatrixRMaj, double, double, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM

Sets the provided square matrix to be a random symmetric matrix whose values are selected from an uniform distribution from min to max, inclusive.

symmetricPosDef(int, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM

Creates a random symmetric positive definite matrix.

SymmetricQrAlgorithm_DDRM - Class in org.ejml.dense.row.decomposition.eig.symm

Computes the eigenvalues and eigenvectors of a symmetric tridiagonal matrix using the symmetric QR algorithm.

SymmetricQrAlgorithm_DDRM() - Constructor for class org.ejml.dense.row.decomposition.eig.symm.SymmetricQrAlgorithm_DDRM

Creates a new SymmetricQREigenvalue class that declares its own SymmetricQREigenHelper.

SymmetricQrAlgorithm_DDRM(SymmetricQREigenHelper_DDRM) - Constructor for class org.ejml.dense.row.decomposition.eig.symm.SymmetricQrAlgorithm_DDRM

SymmetricQRAlgorithmDecomposition_DDRM - Class in org.ejml.dense.row.decomposition.eig

Computes the eigenvalues and eigenvectors of a real symmetric matrix using the symmetric implicit QR algorithm.

SymmetricQRAlgorithmDecomposition_DDRM(boolean) - Constructor for class org.ejml.dense.row.decomposition.eig.SymmetricQRAlgorithmDecomposition_DDRM

SymmetricQRAlgorithmDecomposition_DDRM(TridiagonalSimilarDecomposition_F64<DMatrixRMaj>, boolean) - Constructor for class org.ejml.dense.row.decomposition.eig.SymmetricQRAlgorithmDecomposition_DDRM

SymmetricQREigenHelper_DDRM - Class in org.ejml.dense.row.decomposition.eig.symm

A helper class for the symmetric matrix implicit QR algorithm for eigenvalue decomposition.

SymmetricQREigenHelper_DDRM() - Constructor for class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

symmetricWithEigenvalues(int, Random, double...) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM

Creates a new random symmetric matrix that will have the specified real eigenvalues.

symmLowerToFull(DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Given a symmetric matrix which is represented by a lower triangular matrix convert it back into a full symmetric matrix.

symmPosDef(int) - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_DDRM

Creates a solver for symmetric positive definite matrices.

symmPosDef(int) - Static method in class org.ejml.dense.row.factory.LinearSolverFactory_MT_DDRM

Creates a solver for symmetric positive definite matrices.

symmRankNMinus_L(int, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.InnerRankUpdate_DDRB

Rank N update function for a symmetric inner submatrix and only operates on the lower triangular portion of the submatrix.

A = A - B*B^T

symmRankNMinus_L(int, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.InnerRankUpdate_MT_DDRB

Rank N update function for a symmetric inner submatrix and only operates on the lower triangular portion of the submatrix.

A = A - B*B^T

symmRankNMinus_U(int, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.InnerRankUpdate_DDRB

Rank N update function for a symmetric inner submatrix and only operates on the upper triangular portion of the submatrix.

A = A - B ^TB

symmRankNMinus_U(int, DSubmatrixD1, DSubmatrixD1) - Static method in class org.ejml.dense.block.InnerRankUpdate_MT_DDRB

Rank N update function for a symmetric inner submatrix and only operates on the upper triangular portion of the submatrix.

A = A - B ^TB

symmRankTranA_sub(DMatrixRMaj, DMatrixRMaj, int) - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionBlock_DDRM

Performs this operation:

c = c - a^Ta
where c is a submatrix.

symmRankTranA_sub(DMatrixRMaj, DMatrixRMaj, int) - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionBlock_MT_DDRM

symmUpperToFull(DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Given a symmetric matrix which is represented by a lower triangular matrix convert it back into a full symmetric matrix.

T

t - Variable in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM

T - Variable in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM

tau - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM

tau - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM

tau - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM

temp - Variable in class org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM

tmp - Variable in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB

tmp - Variable in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_MT_DDRB

TOL - Static variable in class org.ejml.dense.row.CovarianceOps_DDRM

totalSteps - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

trace(DMatrix1Row) - Static method in class org.ejml.dense.row.CommonOps_DDRM

This computes the trace of the matrix:

trace = ∑_i=1:n { a_ii }
where n = min(numRows,numCols)

trace(DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

This computes the trace of the matrix:

trace = ∑_i=1:n { a_ii }

trace(DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

This computes the trace of the matrix:

trace = ∑_i=1:n { a_ii }

trace(DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

This computes the trace of the matrix:

trace = ∑_i=1:n { a_ii }

trace(DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

This computes the trace of the matrix:

trace = ∑_i=1:n { a_ii }

trace(DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

This computes the trace of the matrix:

trace = ∑_i=1:n { a_ii }

transpose(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

transpose(DMatrixRMaj, DMatrixRMaj) - Method in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_MT_DDRM

transpose(DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Performs an in-place transpose.

transpose(DMatrix2x2, DMatrix2x2) - Static method in class org.ejml.dense.fixed.CommonOps_DDF2

Transposes matrix 'a' and stores the results in 'b':

b_ij = a_ji
where 'b' is the transpose of 'a'.

transpose(DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Performs an in-place transpose.

transpose(DMatrix3x3, DMatrix3x3) - Static method in class org.ejml.dense.fixed.CommonOps_DDF3

Transposes matrix 'a' and stores the results in 'b':

b_ij = a_ji
where 'b' is the transpose of 'a'.

transpose(DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Performs an in-place transpose.

transpose(DMatrix4x4, DMatrix4x4) - Static method in class org.ejml.dense.fixed.CommonOps_DDF4

Transposes matrix 'a' and stores the results in 'b':

b_ij = a_ji
where 'b' is the transpose of 'a'.

transpose(DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Performs an in-place transpose.

transpose(DMatrix5x5, DMatrix5x5) - Static method in class org.ejml.dense.fixed.CommonOps_DDF5

Transposes matrix 'a' and stores the results in 'b':

b_ij = a_ji
where 'b' is the transpose of 'a'.

transpose(DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Performs an in-place transpose.

transpose(DMatrix6x6, DMatrix6x6) - Static method in class org.ejml.dense.fixed.CommonOps_DDF6

Transposes matrix 'a' and stores the results in 'b':

b_ij = a_ji
where 'b' is the transpose of 'a'.

transpose(DMatrixRBlock, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

Transposes a block matrix.

transpose(DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Performs an "in-place" transpose.

transpose(DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_MT_DDRM

Performs an "in-place" transpose.

transpose(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_DDRM

Transposes matrix 'a' and stores the results in 'b':

b_ij = a_ji
where 'b' is the transpose of 'a'.

transpose(DMatrixRMaj, DMatrixRMaj) - Static method in class org.ejml.dense.row.CommonOps_MT_DDRM

Transposes matrix 'a' and stores the results in 'b':

b_ij = a_ji
where 'b' is the transpose of 'a'.

TransposeAlgs_DDRM - Class in org.ejml.dense.row.misc

Low level transpose algorithms.

TransposeAlgs_DDRM() - Constructor for class org.ejml.dense.row.misc.TransposeAlgs_DDRM

TransposeAlgs_MT_DDRM - Class in org.ejml.dense.row.misc

Low level transpose algorithms.

TransposeAlgs_MT_DDRM() - Constructor for class org.ejml.dense.row.misc.TransposeAlgs_MT_DDRM

transposed - Variable in class org.ejml.dense.row.decomposition.svd.SvdImplicitQrDecompose_DDRM

triangularLower(int, int, double, double, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM

Creates a lower triangular matrix whose values are selected from a uniform distribution.

TriangularSolver_DDRB - Class in org.ejml.dense.block

Contains triangular solvers for DMatrixRBlock block aligned sub-matrices.

TriangularSolver_DDRB() - Constructor for class org.ejml.dense.block.TriangularSolver_DDRB

TriangularSolver_DDRM - Class in org.ejml.dense.row.decomposition

This contains algorithms for solving systems of equations where T is a non-singular triangular matrix:

T*x = b

where x and b are vectors, and T is an n by n matrix.

TriangularSolver_DDRM() - Constructor for class org.ejml.dense.row.decomposition.TriangularSolver_DDRM

TriangularSolver_MT_DDRB - Class in org.ejml.dense.block

Contains triangular solvers for DMatrixRBlock block aligned sub-matrices.

TriangularSolver_MT_DDRB() - Constructor for class org.ejml.dense.block.TriangularSolver_MT_DDRB

triangularUpper(int, int, double, double, Random) - Static method in class org.ejml.dense.row.RandomMatrices_DDRM

Creates an upper triangular matrix whose values are selected from a uniform distribution.

tridiagonal(int) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_DDRM

Checks to see if the passed in tridiagonal decomposition is of the appropriate type for the matrix of the provided size.

tridiagonal(int) - Static method in class org.ejml.dense.row.factory.DecompositionFactory_MT_DDRM

Checks to see if the passed in tridiagonal decomposition is of the appropriate type for the matrix of the provided size.

TridiagonalDecomposition_DDRB_to_DDRM - Class in org.ejml.dense.row.decomposition.hessenberg

Wrapper around a block implementation of TridiagonalSimilarDecomposition_F64

TridiagonalDecomposition_DDRB_to_DDRM() - Constructor for class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecomposition_DDRB_to_DDRM

TridiagonalDecomposition_DDRB_to_DDRM(int) - Constructor for class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecomposition_DDRB_to_DDRM

TridiagonalDecompositionHouseholder_DDRB - Class in org.ejml.dense.block.decomposition.hessenberg

Tridiagonal similar decomposition for block matrices.

TridiagonalDecompositionHouseholder_DDRB() - Constructor for class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB

TridiagonalDecompositionHouseholder_DDRM - Class in org.ejml.dense.row.decomposition.hessenberg

Performs a similar tridiagonal decomposition on a square symmetric input matrix.

TridiagonalDecompositionHouseholder_DDRM() - Constructor for class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM

TridiagonalDecompositionHouseholder_MT_DDRB - Class in org.ejml.dense.block.decomposition.hessenberg

Tridiagonal similar decomposition for block matrices.

TridiagonalDecompositionHouseholder_MT_DDRB() - Constructor for class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_MT_DDRB

TridiagonalDecompositionHouseholder_MT_DDRM - Class in org.ejml.dense.row.decomposition.hessenberg

Concurrent implementation of TridiagonalDecompositionHouseholder_DDRM

TridiagonalDecompositionHouseholder_MT_DDRM() - Constructor for class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_MT_DDRM

TridiagonalDecompositionHouseholderOrig_DDRM - Class in org.ejml.dense.row.decomposition.hessenberg

A straight forward implementation from "Fundamentals of Matrix Computations," Second Edition.

This is only saved to provide a point of reference in benchmarks.

TridiagonalDecompositionHouseholderOrig_DDRM() - Constructor for class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholderOrig_DDRM

TridiagonalHelper_DDRB - Class in org.ejml.dense.block.decomposition.hessenberg

TridiagonalHelper_DDRB() - Constructor for class org.ejml.dense.block.decomposition.hessenberg.TridiagonalHelper_DDRB

tridiagUpperRow(int, DSubmatrixD1, double[], DSubmatrixD1) - Static method in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalHelper_DDRB

Performs a tridiagonal decomposition on the upper row only.

U

u - Variable in class org.ejml.dense.row.decomposition.bidiagonal.BidiagonalDecompositionRow_DDRM

u - Variable in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

u - Variable in class org.ejml.dense.row.decomposition.hessenberg.HessenbergSimilarDecomposition_DDRM

u - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM

UnrolledCholesky_DDRM - Class in org.ejml.dense.row.misc

Performs an unrolled lower cholesky decomposition for small matrices.

UnrolledCholesky_DDRM() - Constructor for class org.ejml.dense.row.misc.UnrolledCholesky_DDRM

UnrolledDeterminantFromMinor_DDRM - Class in org.ejml.dense.row.misc

This code was auto generated by GenerateDeterminantFromMinor and should not be modified directly.

UnrolledDeterminantFromMinor_DDRM() - Constructor for class org.ejml.dense.row.misc.UnrolledDeterminantFromMinor_DDRM

UnrolledInverseFromMinor_DDRM - Class in org.ejml.dense.row.misc

Unrolled inverse from minor for DDRM type matrices.

UnrolledInverseFromMinor_DDRM() - Constructor for class org.ejml.dense.row.misc.UnrolledInverseFromMinor_DDRM

updateA(int) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM

Takes the results from the householder computation and updates the 'A' matrix.

A = (I - γ*u*u^T)A

updateA(int) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM

Takes the results from the householder computation and updates the 'A' matrix.

A = (I - γ*u*u^T)A

updateA(int) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_MT_DDRM

updateA(int) - Method in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM

Takes the results from the householder computation and updates the 'A' matrix.

A = (I - γ*u*u^T)A

updateA(DSubmatrixD1) - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_DDRB

A = (I + W Y^T)^TA
A = A + Y (W^TA)

where A is a submatrix of the input matrix.

updateA(DSubmatrixD1) - Method in class org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_MT_DDRB

A = (I + W Y^T)^TA
A = A + Y (W^TA)

where A is a submatrix of the input matrix.

updateNorms(int) - Method in class org.ejml.dense.row.decomposition.qr.QRColPivDecompositionHouseholderColumn_DDRM

Performs an efficient update of each columns' norm

updateQ(int, int, double, double) - Method in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

updateRotator(DMatrixRMaj, int, int, double, double) - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

Multiplied a transpose orthogonal matrix Q by the specified rotator.

upgradeSolution(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM

Upgrades the basic solution to the optimal 2-norm solution.

upper(double[], int, int) - Static method in class org.ejml.dense.block.decomposition.chol.InnerCholesky_DDRB

Performs an inline upper Cholesky decomposition on an inner row-major matrix.

upper(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledCholesky_DDRM

upper(DSubmatrixD1) - Static method in class org.ejml.dense.block.decomposition.chol.InnerCholesky_DDRB

upper1(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledCholesky_DDRM

upper2(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledCholesky_DDRM

upper3(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledCholesky_DDRM

upper4(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledCholesky_DDRM

upper5(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledCholesky_DDRM

upper6(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledCholesky_DDRM

upper7(DMatrix1Row, DMatrix1Row) - Static method in class org.ejml.dense.row.misc.UnrolledCholesky_DDRM

Ut - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

UtilDecompositons_DDRM - Class in org.ejml.dense.row.decomposition

Helper functions for generic decompsotions.

UtilDecompositons_DDRM() - Constructor for class org.ejml.dense.row.decomposition.UtilDecompositons_DDRM

V

v - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholder_DDRM

v - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderColumn_DDRM

v - Variable in class org.ejml.dense.row.decomposition.qr.QRDecompositionHouseholderTran_DDRM

V - Variable in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB

V - Variable in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_MT_DDRB

value0 - Variable in class org.ejml.dense.row.decomposition.eig.EigenvalueSmall_F64

value1 - Variable in class org.ejml.dense.row.decomposition.eig.EigenvalueSmall_F64

value2x2(double, double, double, double) - Method in class org.ejml.dense.row.decomposition.eig.EigenvalueSmall_F64

value2x2_fast(double, double, double, double) - Method in class org.ejml.dense.row.decomposition.eig.EigenvalueSmall_F64

Computes the eigenvalues of a 2 by 2 matrix using a faster but more prone to errors method.

VectorOps_DDRB - Class in org.ejml.dense.block

Math operations for inner vectors (row and column) inside of block matrices:

scale: b_i = α*a_i
div: _i = a_i/α
add: c_i = α*a_i + βB_i
dot: c = sum a_i*b_i

VectorOps_DDRB() - Constructor for class org.ejml.dense.block.VectorOps_DDRB

VectorVectorMult_DDRM - Class in org.ejml.dense.row.mult

Operations that involve multiplication of two vectors.

VectorVectorMult_DDRM() - Constructor for class org.ejml.dense.row.mult.VectorVectorMult_DDRM

Vt - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

vv - Variable in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM

vv - Variable in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

W

w - Variable in class org.ejml.dense.row.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRM

WatchedDoubleStepQRDecomposition_DDRM - Class in org.ejml.dense.row.decomposition.eig

Finds the eigenvalue decomposition of an arbitrary square matrix using the implicit double-step QR algorithm.

WatchedDoubleStepQRDecomposition_DDRM(boolean) - Constructor for class org.ejml.dense.row.decomposition.eig.WatchedDoubleStepQRDecomposition_DDRM

WatchedDoubleStepQRDecomposition_DDRM(HessenbergSimilarDecomposition_DDRM, WatchedDoubleStepQREigen_DDRM, boolean) - Constructor for class org.ejml.dense.row.decomposition.eig.WatchedDoubleStepQRDecomposition_DDRM

WatchedDoubleStepQREigen_DDRM - Class in org.ejml.dense.row.decomposition.eig.watched

The double step implicit Eigenvalue decomposition algorithm is fairly complicated and needs to be designed so that it can handle several special cases.

WatchedDoubleStepQREigen_DDRM() - Constructor for class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

WatchedDoubleStepQREigen_MT_DDRM - Class in org.ejml.dense.row.decomposition.eig.watched

WatchedDoubleStepQREigen_MT_DDRM() - Constructor for class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_MT_DDRM

WatchedDoubleStepQREigenvalue_DDRM - Class in org.ejml.dense.row.decomposition.eig.watched

WatchedDoubleStepQREigenvalue_DDRM() - Constructor for class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvalue_DDRM

WatchedDoubleStepQREigenvalue_DDRM(WatchedDoubleStepQREigen_DDRM) - Constructor for class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvalue_DDRM

WatchedDoubleStepQREigenvector_DDRM - Class in org.ejml.dense.row.decomposition.eig.watched

WatchedDoubleStepQREigenvector_DDRM() - Constructor for class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigenvector_DDRM

workspace - Variable in class org.ejml.dense.row.decomposition.BaseDecomposition_DDRB_to_DDRM

X

x1 - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

x1 - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

x2 - Variable in class org.ejml.dense.row.decomposition.eig.symm.SymmetricQREigenHelper_DDRM

x2 - Variable in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

Y

Y - Variable in class org.ejml.dense.row.linsol.qr.BaseLinearSolverQrp_DDRM

Z

zerosM - Variable in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB

zerosM - Variable in class org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_MT_DDRB

zeroTriangle(boolean, DMatrixRBlock) - Static method in class org.ejml.dense.block.MatrixOps_DDRB

Sets either the upper or low triangle of a matrix to zero

_

_getVV() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionCommon_DDRM

_getVV() - Method in class org.ejml.dense.row.decomposition.chol.CholeskyDecompositionLDL_DDRM

_getVV() - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

_process() - Method in class org.ejml.dense.row.decomposition.svd.implicitqr.SvdImplicitQrAlgorithm_DDRM

_setA(DMatrixRMaj) - Method in class org.ejml.dense.row.linsol.LinearSolverAbstract_DDRM

_solveVectorInternal(double[]) - Method in class org.ejml.dense.row.decomposition.lu.LUDecompositionBase_DDRM

a specialized version of solve that avoid additional checks that are not needed.

_temp - Variable in class org.ejml.dense.row.decomposition.eig.watched.WatchedDoubleStepQREigen_DDRM

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