Developer Reference

Intel® oneAPI Math Kernel Library LAPACK Examples

ID 766877
Date 12/20/2021
Public

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LAPACK Examples

Routine Description Examples
?geev Computes the eigenvalues and, optionally, the left and/or right eigenvectors of a general matrix.

cgeev

dgeev

sgeev

zgeev

?gels Uses QR or LQ factorization to solve an overdetermined or underdetermined linear system with a full rank matrix.

cgels

dgels

sgels

zgels

?gelsd Computes the minimum norm solution to a linear least squares problem using the singular value decomposition of A and a divide and conquer method.

cgelsd

dgelsd

sgelsd

zgelsd

?gesdd Computes the singular value decomposition of a general rectangular matrix using a divide and conquer algorithm.

cgesdd

dgesdd

sgesdd

zgesdd

?gesv Computes the solution to the system of linear equations with a square matrix A and multiple right-hand sides.

cgesv

dgesv

sgesv

zgesv

?gesvd Computes the singular value decomposition of a general rectangular matrix.

cgesvd

dgesvd

sgesvd

zgesvd

?heev Computes all the eigenvalues and, optionally, the eigenvectors of a Hermitian matrix.

cheev

zheev

?heevd Computes all the eigenvalues and, optionally, all the eigenvectors of a complex Hermitian matrix using a divide and conquer algorithm.

cheevd

zheevd

?heevr Computes the selected eigenvalues and, optionally, the eigenvectors of a Hermitian matrix using the Relatively Robust Representations.

cheevr

zheevr

?heevx Computes the selected eigenvalues and, optionally, the eigenvectors of a Hermitian matrix.

cheevx

zheevx

?hesv Computes the solution to the system of linear equations with a Hermitian matrix A and multiple right-hand sides.

chesv

zhesv

?posv Computes the solution to the system of linear equations with a symmetric or Hermitian positive definite matrix A and multiple right-hand sides.

cposv

dposv

sposv

zposv

?syev Computes all the eigenvalues and, optionally, the eigenvectors of a real symmetric matrix.

dsyev

ssyev

?syevd Computes all the eigenvalues and, optionally, all the eigenvectors of a real symmetric matrix using a divide and conquer algorithm.

dsyevd

ssyevd

?syevr Computes the selected eigenvalues and, optionally, the eigenvectors of a real symmetric matrix using the Relatively Robust Representations.

dsyevr

ssyevr

?syevx Computes the selected eigenvalues and, optionally, the eigenvectors of a symmetric matrix.

dsyevx

ssyevx

?sysv Computes the solution to the system of linear equations with a real or complex symmetric matrix A and multiple right-hand sides.

csysv

dsysv

ssysv

zsysv