Computes all eigenvalues and, optionally, eigenvectors of a Hermitian matrix.
Computes all eigenvalues and, optionally, all eigenvectors of a complex Hermitian band matrix using divide and conquer algorithm.
Computes the singular value decomposition of a real matrix using Jacobi plane rotations.
Computes all eigenvalues and, optionally, eigenvectors of a real generalized symmetric definite eigenproblem with matrices in packed storage using a divide and conquer method.
Computes the generalized eigenvalues and the left and right generalized eigenvectors for a pair of matrices.
Reduces a general square matrix to upper Hessenberg form using an unblocked algorithm.
Estimates the 1-norm of a square matrix, using reverse communication for evaluating matrix-vector products.
Computes a specified right or left eigenvector of an upper Hessenberg matrix by inverse iteration.
Computes the SVD of the coefficient matrix in compact form. Used by ?gelsd.
Returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a triangular matrix supplied in packed form.