java.lang.Object

org.ejml.dense.row.linsol.qr.LinearSolverQrHouseCol_DDRM

All Implemented Interfaces:: org.ejml.interfaces.linsol.LinearSolver<org.ejml.data.DMatrixRMaj,org.ejml.data.DMatrixRMaj>, org.ejml.interfaces.linsol.LinearSolverDense<org.ejml.data.DMatrixRMaj>

public class LinearSolverQrHouseCol_DDRM
extends LinearSolverAbstract_DDRM

QR decomposition can be used to solve for systems. However, this is not as computationally efficient as LU decomposition and costs about 3n² flops.

It solve for x by first multiplying b by the transpose of Q then solving for the result.
QRx=b
Rx=Q^T b

A column major decomposition is used in this solver.

Field Summary

Fields
Modifier and Type	Field	Description
`protected org.ejml.data.DMatrixRMaj`	`a`
`protected QRDecompositionHouseholderColumn_DDRM`	`decomposer`
`protected double[]`	`gammas`
`protected int`	`maxCols`
`protected int`	`maxRows`
`protected double[][]`	`QR`
`protected org.ejml.data.DMatrixRMaj`	`R`
`protected org.ejml.data.DMatrixRMaj`	`temp`

A, numCols, numRows

Constructor Summary

Constructors
Modifier	Constructor	Description
	`LinearSolverQrHouseCol_DDRM()`	Creates a linear solver that uses QR decomposition.
`protected`	`LinearSolverQrHouseCol_DDRM(QRDecompositionHouseholderColumn_DDRM decomposer)`

Modifier and Type	Method	Description
`org.ejml.interfaces.decomposition.QRDecomposition<org.ejml.data.DMatrixRMaj>`	`getDecomposition()`
`boolean`	`modifiesA()`
`boolean`	`modifiesB()`
`double`	`quality()`
`boolean`	`setA(org.ejml.data.DMatrixRMaj A)`	Performs QR decomposition on A
`void`	`setMaxSize(int maxRows, int maxCols)`
`void`	`solve(org.ejml.data.DMatrixRMaj B, org.ejml.data.DMatrixRMaj X)`	Solves for X using the QR decomposition.

_setA, getA, invert

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait