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void | dgelss_ (int *a_M, int *a_N, int *a_nRHS, double *a_A, int *a_LDA, double *a_B, int *a_LDB, double *a_S, double *a_rcond, int *a_RANK, double *a_WORK, int *a_LWORK, int *a_INFO) |
| This is an interface to LAPACK for solving least squares problems using singular-value decomposition.
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void | dgesdd_ (char *a_JOBZ, int *a_M, int *a_N, double *a_A, int *a_LDA, double *a_S, double *a_U, int *a_LDU, double *a_VT, int *a_LDVT, double *a_WORK, int *a_LWORK, int *a_IWORK, int *a_INFO) |
| Interface to LaPack for computing the singular value decomposition of a matrix.
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void | sgesdd_ (char *a_JOBZ, int *a_M, int *a_N, float *a_A, int *a_LDA, float *a_S, float *a_U, int *a_LDU, float *a_VT, int *a_LDVT, float *a_WORK, int *a_LWORK, int *a_IWORK, int *a_INFO) |
| Interface to LaPack for computing the singular value decomposition of a matrix.
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void | dgemm_ (char *a_TRANSA, char *a_TRANSB, int *a_M, int *a_N, int *a_K, double *a_ALPHA, double *a_A, int *a_LDA, double *a_B, int *a_LDB, double *a_BETA, double *a_C, int *a_LDC) |
| Interface to LaPack for matrix multiplication.
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void | sgemm_ (char *a_TRANSA, char *a_TRANSB, int *a_M, int *a_N, int *a_K, float *a_ALPHA, float *a_A, int *a_LDA, float *a_B, int *a_LDB, float *a_BETA, float *a_C, int *a_LDC) |
| Interface to LaPack for matrix multiplication.
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void | dgesv_ (int *N, int *NRHS, double *A, int *LDA, int *IPIV, double *B, int *LDB, int *INFO) |
| Interface to LaPack for computing solution to Ax=b.
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int | LaPackUtils::linearIndex (const int irow, const int jcol, const int M, const int N) |
| Get the index in the linearized matrix of size MxN.
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bool | LaPackUtils::computeSVD (std::vector< double > &a_linU, std::vector< double > &a_linSigma, std::vector< double > &a_linVtran, const std::vector< double > &a_linA, const int &a_M, const int &a_N) |
| Compute the singular value decomposition of a matrix.
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bool | LaPackUtils::computeSVD (std::vector< float > &a_linU, std::vector< float > &a_linSigma, std::vector< float > &a_linVtran, const std::vector< float > &a_linA, const int &a_M, const int &a_N) |
| Compute the singular value decomposition of a matrix.
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bool | LaPackUtils::computePseudoInverse (std::vector< double > &a_linAplus, const std::vector< double > &a_linA, const int &a_M, const int &a_N) |
| Compute the pseudoinverse of matrix through singular value decomposition.
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bool | LaPackUtils::computePseudoInverse (std::vector< float > &a_linAplus, const std::vector< float > &a_linA, const int &a_M, const int &a_N) |
| Compute the pseudoinverse of matrix through singular value decomposition.
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void | LaPackUtils::linearizeMatrix (std::vector< double > &a_linA, int &a_M, int &a_N, const std::vector< std::vector< double > > &a_A, const char &a_format) |
| Linearize a matrix to column major Fortran form by assuming row or major colum format of the input matrix.
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void | LaPackUtils::linearizeColumnMajorMatrix (std::vector< double > &a_linA, int &a_M, int &a_N, const std::vector< std::vector< double > > &a_A) |
| Linearize a matrix to column major Fortran form by column major format of the input matrix.
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void | LaPackUtils::linearizeRowMajorMatrix (std::vector< double > &a_linA, int &a_M, int &a_N, const std::vector< std::vector< double > > &a_A) |
| Linearize a matrix to column major Fortran form by row major format of the input matrix.
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void | LaPackUtils::deLinearizeMatrix (std::vector< std::vector< double > > &a_A, const int &a_M, const int &a_N, const std::vector< double > &a_linA, const char &a_format) |
| Delinearize a linearized matrix from column major Fortran to row or major colum matrix format.
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void | LaPackUtils::deLinearizeColumnMajorMatrix (std::vector< std::vector< double > > &a_A, const int &a_M, const int &a_N, const std::vector< double > &a_linA) |
| Delinearize a linearized matrix from column major Fortran to column major form.
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void | LaPackUtils::deLinearizeRowMajorMatrix (std::vector< std::vector< double > > &a_A, const int &a_M, const int &a_N, const std::vector< double > &a_linA) |
| Delinearize a linearized matrix from column major Fortran to row major form.
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Interface to some LaPack routines.
- Note
- The routines in this file are double precision only.
- Author
- Robert Marskar