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| interface | lapack_oct_m::lapack_potrf |
| | computes the Cholesky factorization of a real symmetric positive definite matrix A. More...
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| interface | lapack_oct_m::lapack_sygv |
| | Computes all the eigenvalues, and optionally, the eigenvectors of a real generalized symmetric-definite eigenproblem, of the form \(Ax=(\lambda)Bx, ABx=(\lambda)x, \mbox{ or } BAx=(\lambda)x \). Here A and B are assumed to be symmetric and B is also positive definite. More...
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| interface | lapack_oct_m::lapack_sygvd |
| | Same as lapack_sygv but using the divide and conquer algorithm. More...
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| interface | lapack_oct_m::lapack_hegv |
| | Computes all the eigenvalues, and optionally, the eigenvectors of a complex generalized Hermitian-definite eigenproblem, of the form \(Ax=(\lambda)Bx, ABx=(\lambda)x, \mbox{ or } BAx=(\lambda)x \). Here A and B are assumed to be Hermitian and B is also positive definite. More...
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| interface | lapack_oct_m::lapack_hegvd |
| | Same as lapack_hegv but using the divide and conquer algorithm. More...
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| interface | lapack_oct_m::dgeev |
| | Computes for an \( N \times N \) complex nonsymmetric matrix A, the eigenvalues and, optionally, the left and/or right eigenvectors. More...
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| interface | lapack_oct_m::zgeev |
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| interface | lapack_oct_m::lapack_gesvx |
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| interface | lapack_oct_m::lapack_syev |
| | Computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix A. More...
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| interface | lapack_oct_m::lapack_heev |
| | Computes all eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix A. More...
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| interface | lapack_oct_m::dsyevx |
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| interface | lapack_oct_m::zheevx |
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| interface | lapack_oct_m::lapack_geqrf |
| | Computes a QR factorization of a real \(m \times n\) matrix A: More...
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| interface | lapack_oct_m::lapack_orgqr |
| | Generates an \( M \times N \) real matrix Q with orthonormal columns, which is defined as the first N columns of a product of K elementary reflectors of order M. More...
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| interface | lapack_oct_m::lapack_sygvx |
| | Computes selected eigenvalues, and optionally, eigenvectors of a real generalized symmetric-definite eigenproblem, of the form \(Ax=(\lambda)Bx, ABx=(\lambda)x, \mbox{ or } BAx=(\lambda)x \). Here A and B are assumed to be symmetric and B is also positive definite. Eigenvalues and eigenvectors can be selected by specifying either a range of values or a range of indices for the desired eigenvalues. More...
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| interface | lapack_oct_m::lapack_hegvx |
| | Computes selected eigenvalues, and optionally, eigenvectors of a complex generalized Hermitian-definite eigenproblem, of the form \(Ax=(\lambda)Bx, ABx=(\lambda)x, \mbox{ or } BAx=(\lambda)x \). Here A and B are assumed to be Hermitian and B is also positive definite. Eigenvalues and eigenvectors can be selected by specifying either a range of values or a range of indices for the desired eigenvalues. More...
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| interface | lapack_oct_m::lapack_gelss |
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| interface | lapack_oct_m::lapack_getrf |
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| interface | lapack_oct_m::lapack_getri |
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| interface | lapack_oct_m::lapack_sytrf |
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| interface | lapack_oct_m::lapack_sytri |
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| interface | lapack_oct_m::lapack_stev |
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| interface | lapack_oct_m::lapack_steqr |
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1.9.4