Computes all eigenvalues and, optionally, eigenvectors of a Hermitian matrix in packed storage.
Generates the real orthogonal matrix Q or PT determined by ?gebrd.
Computes matrix-vector product of a sparse symmetrical matrix stored in the BSR format (3-array variation) with one-based indexing.
Reduces a complex Hermitian matrix to tridiagonal form with Successive Bandwidth Reduction approach.
Scales two vectors, adds them to one another and stores result in the vector.
Estimates the reciprocal of the condition number of a general matrix in the 1-norm or the infinity-norm.
Reduces a real symmetric matrix to tridiagonal form using packed storage.
Uses extra precise iterative refinement to improve the solution to the system of linear equations with a banded matrix A and provides error bounds and backward error estimates.