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.
Uses the singular value decomposition of A to solve the least squares problem.
Returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a trapezoidal or triangular matrix.
Computes the eigenvalues of a Hessenberg matrix, and optionally the matrices from the Schur decomposition.
Computes the splitting points with the specified threshold.
Applies a block reflector or its transpose/conjugate-transpose to a general matrix.
Creates a tree of subproblems for bidiagonal divide and conquer. Used by ?bdsdc.
Solves a triangular banded system of equations.