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| void | dgesvd_ (const char *JOBU, const char *JOBVT, const int *M, const int *N, double *A, const int *LDA, double *S, double *U, const int *LDU, double *VT, const int *LDVT, double *WORK, const int *LWORK, int *INFO) |
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| void | dggev_ (const char *JOBVL, const char *JOBVR, const int *N, double *A, const int *LDA, double *B, const int *LDB, double *ALPHAR, double *ALPHAI, double *BETA, double *VL, const int *LDVL, double *VR, const int *LDVR, double *WORK, const int *LWORK, int *INFO) |
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| void | dgesdd_ (const char *JOBZ, const int *M, const int *N, double *A, const int *LDA, double *S, double *U, const int *LDU, double *VT, const int *LDVT, double *WORK, const int *LWORK, int *IWORK, int *INFO) |
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| void | dsyev_ (const char *JOBZ, const char *UPLO, const int *N, double *A, const int *LDA, double *D, double *WORK, const int *LWORK, int *INFO) |
| | SSYEV computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix A.
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| void | dtrtri_ (const char *UPLO, const char *DIAG, const int *N, double *A, const int *LDA, int *INFO) |
| | DTRTRI computes the inverse of a real upper or lower triangular matrix A.
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| int | dgecon_ (const char *norm, const int *n, double *a, const int *lda, const double *anorm, double *rcond, double *work, int *iwork, int *info, int len) |
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| int | dgetrf_ (const int *m, const int *n, double *a, const int *lda, int *lpiv, int *info) |
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| double | dlange_ (const char *norm, const int *m, const int *n, const double *a, const int *lda, double *work, const int norm_len) |
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| void | dgeqrf_ (const int *m, const int *n, double *A, const int *lda, double *tau, double *work, int *lwork, int *info) |
| | DORGQR and DGEQRF computes the QR decomposition of a real M-by-N matrix A.
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| void | dorgqr_ (const int *m, const int *n, const int *k, double *A, const int *lda, double *tau, double *work, int *lwork, int *info) |
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| void | dgeqp3_ (const int *m, const int *n, double *a, const int *lda, int *jpvt, double *tau, double *work, const int *lwork, int *info) |
| | DGEQP3 computes the QR decomposition with pivoting of a real M-by-N matrix A.
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| void | LAPACK_utilities::MGS (const Eigen::MatrixXd &X, Eigen::MatrixXd &Q, Eigen::MatrixXd &R) |
| | Compute the modified Gram-Schmidt factorization of matrix X.
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| double | LAPACK_utilities::rcondest (const Eigen::SparseMatrix< double > &sparseA) |
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| Eigen::MatrixXd | LAPACK_utilities::triu (const Eigen::MatrixXd &X, const unsigned int &i) |
| | Extract upper triangular part of matrix X.
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| void | LAPACK_utilities::svd (Eigen::MatrixXd A, Eigen::MatrixXd &V, Eigen::VectorXd &S) |
| | Given A = U * S * V' returns only S and V'.
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| void | LAPACK_utilities::inverseTri (const Eigen::MatrixXd A, Eigen::MatrixXd &InvA, const char &UPLO, const char &DIAG) |
| | Compute inverse of triangular matrix.
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| void | LAPACK_utilities::eig (const Eigen::MatrixXd A, Eigen::VectorXd &D, Eigen::MatrixXd &R) |
| | Compute eigenvalues and eigenvectors of A = R * D * R'.
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| Eigen::VectorXd | LAPACK_utilities::svd (Eigen::MatrixXd A) |
| | Given A = U * S * V' returns only S.
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| void | LAPACK_utilities::svd (Eigen::MatrixXd A, Eigen::MatrixXd &U, Eigen::MatrixXd &V, Eigen::VectorXd &S) |
| | Given A = U * S * V' returns U, S and V'.
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| QR_Factorization | LAPACK_utilities::MGS (const Eigen::MatrixXd &X, const double &tolerance=std::numeric_limits< double >::epsilon()) |
| | Compute the modified Gram-Schmidt factorization of matrix X with no maximum rank.
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| QR_Factorization | LAPACK_utilities::QR (const Eigen::MatrixXd &X, const double &tolerance=std::numeric_limits< double >::epsilon()) |
| | Compute the QR matrix based on Householder reflectors.
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| QR_Factorization | LAPACK_utilities::QRP (const Eigen::MatrixXd &X, const double &tolerance=std::numeric_limits< double >::epsilon()) |
| | Compute the QR with pivoting matrix based on Householder reflectors.
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| unsigned int | LAPACK_utilities::rank (const Eigen::VectorXd &s, const double &tolerance) |
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