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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. | |
?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