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_a1w_f 27 nagf_lapackeig_dgeqrf_a1w
Performs a QR factorization of real general rectangular matrix
f08ah_a1w_f 27 nagf_lapackeig_dgelqf_a1w
Performs a LQ factorization of real general rectangular matrix
f08fa_a1w_f 27.1 nagf_lapackeig_dsyev_a1w
Computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix
f08ga_a1w_f 27 nagf_lapackeig_dspev_a1w
Computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix, packed storage
f08kb_a1w_f 27.1 nagf_lapackeig_dgesvd_a1w
Computes the singular value decomposition of a real matrix, optionally computing the left and/or right singular vectors
f08kd_a1w_f 26.2 nagf_lapackeig_dgesdd_a1w (symbolic adjoint mode)
Computes the singular value decomposition of a real matrix, optionally computing the left and/or right singular vectors (divide-and-conquer)
f08ke_a1w_f 27.1 nagf_lapackeig_dgebrd_a1w
Performs an orthogonal reduction of real general rectangular matrix to bidiagonal form
f08kp_a1w_f 27.1 nagf_lapackeig_zgesvd_a1w
Computes the singular value decomposition of a complex matrix, optionally computing the left and/or right singular vectors
f08me_a1w_f 27.1 nagf_lapackeig_dbdsqr_a1w
Performs an SVD of real bidiagonal matrix reduced from real general matrix