test_eigen, a Fortran90 code which generates random real symmetric and nonsymmetric matrices with known eigenvalues and eigenvectors, to test eigenvalue algorithms.
The current version of the code can only generate a symmetric or nonsymmetric matrix of arbitrary size, with real eigenvalues distributed according to a normal distribution whose mean and standard deviation are specified by the user in routines R8SYMM_GEN() and R8NSYMM_GEN().
The information on this web page is distributed under the MIT license.
test_eigen is available in a C version and a C++ version and a Fortran77 version and a Fortran90 version and a MATLAB version and an Octave version and a Python version.
arpack, a Fortran90 code which computes eigenvalues for large matrices;
eispack, a Fortran90 code which carries out eigenvalue computations; superseded by LAPACK;
jacobi_eigenvalue, a Fortran90 code which implements the Jacobi iteration for the iterative determination of the eigenvalues and eigenvectors of a real symmetric matrix.
lapack_eigen_test, a Fortran90 code which tests some of the LAPACK eigenvalue functions.
power_method, a Fortran90 code which carries out the power method for finding a dominant eigenvalue and its eigenvector.
test_matrix, a Fortran90 code which defines test matrices.