TEST_EIGEN
Test Matrices for Eigenvalue Analysis


TEST_EIGEN is a FORTRAN90 library which generates eigenvalue tests.

The current version of the code can only generate a symmetric matrix with eigenvalues distributed according to a normal distribution whose mean and standard deviation are specified by the user (subroutine SYMM_TEST).

Related Data and Programs:

ARPACK is an advanced and powerful library which uses Arnoldi iteration to compute eigenvalues and eigenvectors.

EISPACK is an obsolete library of FORTRAN90 routines which can compute eigenvalues and eigenvectors.

LAPACK is a modern library of FORTRAN90 routines which can compute eigenvalues and eigenvectors.

TEST_MAT is a library of FORTRAN90 routines which define a number of matrices with known properties. Examples with known eigenvalues and eigenvectors are included.

Reference:

  1. Robert Gregory, David Karney,
    A Collection of Matrices for Testing Computational Algorithms,
    Wiley, 1969,
    ISBN: 0882756494,
    LC: QA263 G862.
  2. Pete Stewart,
    Efficient Generation of Random Orthogonal Matrices With an Application to Condition Estimators,
    SIAM Journal on Numerical Analysis,
    Volume 17, Number 3, June 1980, pages 403-409.

Source Code:

Examples and Tests:

List of Routines:

You can go up one level to the FORTRAN90 source codes.


Last revised on 02 February 2008.