Provides estimate of number and type of upcoming matrix-vector operations.
Computes a matrix-matrix product with general matrices but updates only the upper or lower triangular part of the result matrix.
There are two general methods of storing a two dimensional matrix in linear (one dimensional) memory: column-wise (column major order) or row-wise (row major order). Consider an M-by-N matrix A:
Computes the Cholesky factorization of a symmetric (Hermitian) positive-definite matrix using the Rectangular Full Packed (RFP) format .
Solves a system of linear equations with a tridiagonal coefficient matrix using the LU factorization computed by ?gttrf.
Solves a system of linear equations with a UDU- or LDL-factored Hermitian coefficient matrix using packed storage.
Estimates the reciprocal of the condition number of a triangular matrix.
Refines the solution of a system of linear equations with a complex Hermitian coefficient matrix and estimates its error.
Computes the inverse of a symmetric indefinite matrix after ?sytri2allocates memory.
Computes row and column scaling factors intended to equilibrate a symmetric indefinite matrix and reduce its condition number.