Developer Reference
Intel® oneAPI Math Kernel Library LAPACK Examples
ID
766877
Date
10/31/2024
Public
LAPACK Examples
| Routine | Description | Examples |
|---|---|---|
| ?geev | Computes the eigenvalues and, optionally, the left and/or right eigenvectors of a general matrix. | |
| ?gels | Uses QR or LQ factorization to solve an overdetermined or underdetermined linear system with a full rank matrix. | |
| ?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. | |
| ?gesdd | Computes the singular value decomposition of a general rectangular matrix using a divide and conquer algorithm. | |
| ?gesv | Computes the solution to the system of linear equations with a square matrix A and multiple right-hand sides. | |
| ?gesvd | Computes the singular value decomposition of a general rectangular matrix. | |
| ?heev | Computes all the eigenvalues and, optionally, the eigenvectors of a Hermitian matrix. | |
| ?heevd | Computes all the eigenvalues and, optionally, all the eigenvectors of a complex Hermitian matrix using a divide and conquer algorithm. | |
| ?heevr | Computes the selected eigenvalues and, optionally, the eigenvectors of a Hermitian matrix using the Relatively Robust Representations. | |
| ?heevx | Computes the selected eigenvalues and, optionally, the eigenvectors of a Hermitian matrix. | |
| ?hesv | Computes the solution to the system of linear equations with a Hermitian matrix A and multiple right-hand sides. | |
| ?posv | Computes the solution to the system of linear equations with a symmetric or Hermitian positive definite matrix A and multiple right-hand sides. | |
| ?syev | Computes all the eigenvalues and, optionally, the eigenvectors of a real symmetric matrix. | |
| ?syevd | Computes all the eigenvalues and, optionally, all the eigenvectors of a real symmetric matrix using a divide and conquer algorithm. | |
| ?syevr | Computes the selected eigenvalues and, optionally, the eigenvectors of a real symmetric matrix using the Relatively Robust Representations. | |
| ?syevx | Computes the selected eigenvalues and, optionally, the eigenvectors of a symmetric matrix. | |
| ?sysv | Computes the solution to the system of linear equations with a real or complex symmetric matrix A and multiple right-hand sides. |
Parent topic: Intel® oneAPI Math Kernel Library LAPACK Examples