Uses of Class
net.frobenius.TEigJob

Packages that use TEigJob

Package	Description
net.frobenius	Convenience API
net.frobenius.lapack	LAPACK high-level API (sort of) which provides parameter checking and automatic workspace allocation which should be a bit more convenient to use.

Uses of TEigJob in net.frobenius

Methods in net.frobenius that return TEigJob

Modifier and Type	Method and Description
static TEigJob	TEigJob.valueOf(String name) Returns the enum constant of this type with the specified name.
static TEigJob[]	TEigJob.values() Returns an array containing the constants of this enum type, in the order they are declared.

Uses of TEigJob in net.frobenius.lapack

Methods in net.frobenius.lapack with parameters of type TEigJob

Modifier and Type	Method and Description
static void	PlainLapack.cgeev(Lapack la, TEigJob jobvl, TEigJob jobvr, int n, float[] a, int lda, float[] w, float[] vl, int ldvl, float[] vr, int ldvr)
static void	PlainLapack.dgeev(Lapack la, TEigJob jobvl, TEigJob jobvr, int n, double[] a, int lda, double[] wr, double[] wi, double[] vl, int ldvl, double[] vr, int ldvr) Purpose ======= DGEEV computes for an N-by-N real nonsymmetric matrix A, the eigenvalues and, optionally, the left and/or right eigenvectors.
static void	PlainLapack.dsbevd(Lapack la, TEigJob jobz, TUpLo uplo, int n, int diagCount, double[] ab, double[] w, double[] z, int ldz) Purpose ======= DSBEVD computes all the eigenvalues and, optionally, eigenvectors of a real symmetric band matrix A.
static void	PlainLapack.dspevd(Lapack la, TEigJob jobz, TUpLo uplo, int n, double[] ap, double[] w, double[] z, int ldz) Purpose ======= DSPEVD computes all the eigenvalues and, optionally, eigenvectors of a real symmetric matrix A in packed storage.
static int	PlainLapack.dstevr(Lapack la, TEigJob jobz, TRange range, int n, double[] d, double[] e, double vLower, double vUpper, int iLower, int iUpper, double abstol, double[] w, double[] z, int ldz, int[] supportZ) Purpose ======= DSTEVR computes selected eigenvalues and, optionally, eigenvectors of a real symmetric tridiagonal matrix T.
static int	PlainLapack.dsyevr(Lapack la, TEigJob jobz, TRange range, TUpLo uplo, int n, double[] a, int lda, double vLower, double vUpper, int iLower, int iUpper, double abstol, double[] w, double[] z, int ldz, int[] supportZ) Purpose ======= DSYEVR computes selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix A.
static void	PlainLapack.dsygvd(Lapack la, int type, TEigJob jobz, TUpLo uplo, int n, double[] a, int lda, double[] b, int ldb, double[] w) Purpose ======= DSYGVD computes all the eigenvalues, and optionally, the eigenvectors of a real generalized symmetric-definite eigenproblem, of the form A*x=(lambda)*B*x, A*Bx=(lambda)*x, or B*A*x=(lambda)*x.
static void	PlainLapack.sgeev(Lapack la, TEigJob jobvl, TEigJob jobvr, int n, float[] a, int lda, float[] wr, float[] wi, float[] vl, int ldvl, float[] vr, int ldvr) Purpose ======= SGEEV computes for an N-by-N real nonsymmetric matrix A, the eigenvalues and, optionally, the left and/or right eigenvectors.
static void	PlainLapack.zgeev(Lapack la, TEigJob jobvl, TEigJob jobvr, int n, double[] a, int lda, double[] w, double[] vl, int ldvl, double[] vr, int ldvr)