NAG AD Library
F08 (Lapackeig)
Least Squares and Eigenvalue Problems (LAPACK)

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F08 (Lapackeig) Chapter Introduction (FL Interface) – A description of the Chapter and an overview of the algorithms available.

Routine
Mark of
Introduction

Purpose
f08ae 27 nagad_lapackeig_dgeqrf
Performs a QR factorization of real general rectangular matrix
f08ah 27 nagad_lapackeig_dgelqf
Performs a LQ factorization of real general rectangular matrix
f08fa 27.1 nagad_lapackeig_dsyev
Computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix
f08ga 27 nagad_lapackeig_dspev
Computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix, packed storage
f08kb 27.1 nagad_lapackeig_dgesvd
Computes the singular value decomposition of a real matrix, optionally computing the left and/or right singular vectors
f08kd 26.2 nagad_lapackeig_dgesdd (symbolic adjoint strategy)
Computes the singular value decomposition of a real matrix, optionally computing the left and/or right singular vectors (divide-and-conquer)
f08ke 27.1 nagad_lapackeig_dgebrd
Performs an orthogonal reduction of real general rectangular matrix to bidiagonal form
f08kp 27.1 nagad_lapackeig_zgesvd
Computes the singular value decomposition of a complex matrix, optionally computing the left and/or right singular vectors
f08me 27.1 nagad_lapackeig_dbdsqr
Performs an SVD of real bidiagonal matrix reduced from real general matrix