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Math - LAPACK

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Title 
Description 
LA_CHOLDC Computes the Cholesky factorization of an n-by-n symmetric positive-definite array.
LA_CHOLMPROVE Uses Cholesky factorization to improve the solution to a system of linear equations.
LA_CHOLSOL Used in conjunction with LA_CHOLDC to solve a set of linear equations.
LA_DETERM Uses LU decomposition to compute the determinant of a square array.
LA_EIGENPROBLEM Uses the QR algorithm to compute eigenvalues and eigenvectors of an array.
LA_EIGENQL Computes selected eigenvalues and eigenvectors.
LA_EIGENVEC Uses the QR algorithm to compute all of some eigenvectors of an array.
LA_ELMHES Reduces a real nonsymmetric or complex array to upper Hessenberg from.
LA_GM_LINEAR_MODEL Used to solve a general Gauss-Markov linear model problem.
LA_HQR Uses the multishift QR algorithm to compute all eigenvalues of an array.
LA_INVERT Uses LU decomposition to compute the inverse of a square array.
LA_LEAST_SQUARE_EQUALITY Used to solve linear least-squares problems.
LA_LEAST_SQUARES Used to solve linear least-squares problems.
LA_LINEAR_EQUATION Uses LU decomposition to sole a system of linear equations.
LA_LUDC Computes the LU decomposition of an array.
LA_LUMPROVE Uses LU decomposition to improve the solution to a system of linear equations.
LA_LUSOL Used in conjunction with LA_LUDC to solve a set of linear equations.
LA_SVD Computes the singular value decomposition of an array.
LA_TRIDC Computes the LU decomposition of a tridiagonal array.
LA_TRIMPROVE Improves the solution to a system of linear equations with a tridiagonal array.
LA_TRIQL Uses the QL and QR variants of the implicitly-shifted QR algorithm to compute the eigenvalues and eigenvectors of an array.
LA_TRIRED Reduces a real symmetric or complex Hermitian array to real tridiagonal from.
LA_TRISOL Used in conjunction with LA_TRIDC to solve a set of linear equations.



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