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template<typename Numeric > |
void | npstat::invert_posdef_sym_matrix (const Numeric *in, unsigned dim, Numeric *out) |
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template<typename Numeric > |
void | npstat::invert_sym_matrix (const Numeric *in, unsigned dim, Numeric *out) |
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template<typename Numeric > |
void | npstat::invert_td_matrix (const Numeric *in, unsigned dim, Numeric *out) |
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template<typename Numeric > |
void | npstat::invert_general_matrix (const Numeric *in, unsigned dim, Numeric *out) |
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template<typename Numeric > |
void | npstat::gen_matrix_eigenvalues (const Numeric *in, unsigned dim, typename GeneralizedComplex< Numeric >::type *eigenvalues) |
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template<typename Numeric > |
void | npstat::sym_matrix_eigenvalues (const Numeric *in, unsigned dim, Numeric *eigenvalues) |
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template<typename Numeric > |
void | npstat::td_sym_matrix_eigenvalues (const Numeric *in, unsigned dim, Numeric *eigenvalues) |
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template<typename Numeric > |
void | npstat::sym_matrix_eigenvalues_dc (const Numeric *in, unsigned dim, Numeric *eigenvalues) |
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template<typename Numeric > |
void | npstat::td_sym_matrix_eigenvalues_dc (const Numeric *in, unsigned dim, Numeric *eigenvalues) |
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template<typename Numeric > |
void | npstat::sym_matrix_eigenvalues_rrr (const Numeric *in, unsigned dim, Numeric *eigenvalues) |
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template<typename Numeric > |
void | npstat::td_sym_matrix_eigenvalues_rrr (const Numeric *in, unsigned dim, Numeric *eigenvalues) |
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template<typename Numeric > |
void | npstat::gen_matrix_eigensystem (const Numeric *in, unsigned dim, typename GeneralizedComplex< Numeric >::type *ev, Numeric *rightEigenvectors, Numeric *leftEigenvectors) |
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template<typename Numeric > |
void | npstat::sym_matrix_eigensystem (const Numeric *in, unsigned dim, Numeric *eigenvalues, Numeric *eigenvectors) |
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template<typename Numeric > |
void | npstat::td_sym_matrix_eigensystem (const Numeric *in, unsigned dim, Numeric *eigenvalues, Numeric *eigenvectors) |
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template<typename Numeric > |
void | npstat::sym_matrix_eigensystem_dc (const Numeric *in, unsigned dim, Numeric *eigenvalues, Numeric *eigenvectors) |
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template<typename Numeric > |
void | npstat::td_sym_matrix_eigensystem_dc (const Numeric *in, unsigned dim, Numeric *eigenvalues, Numeric *eigenvectors) |
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template<typename Numeric > |
void | npstat::sym_matrix_eigensystem_rrr (const Numeric *in, unsigned dim, Numeric *eigenvalues, Numeric *eigenvectors) |
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template<typename Numeric > |
void | npstat::td_sym_matrix_eigensystem_rrr (const Numeric *in, unsigned dim, Numeric *eigenvalues, Numeric *eigenvectors) |
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template<typename Numeric > |
bool | npstat::solve_linear_system (const Numeric *in, unsigned dim, const Numeric *rhs, Numeric *solution) |
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template<typename Numeric > |
bool | npstat::solve_linear_systems (const Numeric *in, unsigned nrows, unsigned ncols, const Numeric *rhs, Numeric *solution) |
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template<typename Numeric > |
bool | npstat::linear_least_squares (const Numeric *mat, unsigned nrows, unsigned ncols, const Numeric *rhs, Numeric *solution) |
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template<typename Numeric > |
bool | npstat::constrained_least_squares (const Numeric *mat, unsigned nrows, unsigned ncols, const Numeric *rhs, const Numeric *constraintMatrix, unsigned constrRows, unsigned constrCols, const Numeric *constrRhs, Numeric *solution) |
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template<typename Numeric > |
bool | npstat::gen_matrix_svd (const Numeric *in, unsigned M, unsigned N, Numeric *U, Numeric *singularValues, Numeric *VT) |
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template<typename Numeric > |
bool | npstat::gen_matrix_svd_dc (const Numeric *in, unsigned M, unsigned N, Numeric *U, Numeric *singularValues, Numeric *VT) |
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int | npstat::Private::lapack_nlvl_dgelsd (int dim) |
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int | npstat::Private::lapack_nlvl_sgelsd (int dim) |
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Template interface to LAPACK (in its original F77 implementation)
Typically, generic templates will throw an appropriate exception, while templates specialized for float, double, etc. will perform the requested calculations via corresponding LAPACK routines.
This code is rather low-level. It may be more convenient to use the API provided by the Matrix class which will eventually call appropriate LAPACK interface functions from here.
Author: I. Volobouev
September 2010