f02 Chapter Contents (PDF version)
f02 Chapter Introduction
NAG Library Manual

NAG Library Chapter Contents

f02 – Eigenvalues and Eigenvectors

f02 Chapter Introduction

Function
Name
Mark of
Introduction

Purpose
f02aac
Example Text
Example Data
1 nag_real_symm_eigenvalues
All eigenvalues of real symmetric matrix
Note: this function is scheduled for withdrawal at Mark 26, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information.
f02abc
Example Text
Example Data
1 nag_real_symm_eigensystem
All eigenvalues and eigenvectors of real symmetric matrix
Note: this function is scheduled for withdrawal at Mark 26, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information.
f02adc
Example Text
Example Data
1 nag_real_symm_general_eigenvalues
All eigenvalues of generalized real symmetric-definite eigenproblem
Note: this function is scheduled for withdrawal at Mark 26, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information.
f02aec
Example Text
Example Data
1 nag_real_symm_general_eigensystem
All eigenvalues and eigenvectors of generalized real symmetric-definite eigenproblem
Note: this function is scheduled for withdrawal at Mark 26, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information.
f02afc
Example Text
Example Data
1 nag_real_eigenvalues
All eigenvalues of real matrix
Note: this function is scheduled for withdrawal at Mark 26, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information.
f02agc
Example Text
Example Data
1 nag_real_eigensystem
All eigenvalues and eigenvectors of real matrix
Note: this function is scheduled for withdrawal at Mark 26, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information.
f02awc
Example Text
Example Data
2 nag_hermitian_eigenvalues
All eigenvalues of complex Hermitian matrix
Note: this function is scheduled for withdrawal at Mark 26, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information.
f02axc
Example Text
Example Data
2 nag_hermitian_eigensystem
All eigenvalues and eigenvectors of complex Hermitian matrix
Note: this function is scheduled for withdrawal at Mark 26, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information.
f02bjc
Example Text
Example Data
2 nag_real_general_eigensystem
Computes all eigenvalues and, optionally, eigenvectors of real generalized eigenproblem, by QZ algorithm
Note: this function is scheduled for withdrawal at Mark 26, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information.
f02ecc
Example Text
Example Data
5 nag_real_eigensystem_sel
Computes selected eigenvalues and eigenvectors of a real general matrix
f02ekc
Example Text
Example Data
24 nag_eigen_real_gen_sparse_arnoldi
Selected eigenvalues and eigenvectors of a real sparse general matrix
f02gcc
Example Text
Example Data
5 nag_complex_eigensystem_sel
Computes selected eigenvalues and eigenvectors of a complex general matrix
f02jcc
Example Text
Example Data
24 nag_eigen_real_gen_quad
Solves the quadratic eigenvalue problem for real matrices
f02jqc
Example Text
Example Data
24 nag_eigen_complex_gen_quad
Solves the quadratic eigenvalue problem for complex matrices
f02wec
Example Text
Example Data
1 nag_real_svd
SVD of real matrix
Note: this function is scheduled for withdrawal at Mark 26, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information.
f02wgc
Example Text
Example Data
9 nag_real_partial_svd
Computes leading terms in the singular value decomposition of a real general matrix; also computes corresponding left and right singular vectors
f02xec
Example Text
Example Data
1 nag_complex_svd
SVD of complex matrix
Note: this function is scheduled for withdrawal at Mark 26, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information.

f02 Chapter Contents (PDF version)
f02 Chapter Introduction
NAG Library Manual

© The Numerical Algorithms Group Ltd, Oxford, UK. 2014