**eigs_test**,
a Python code which
calls np.linalg.eig(), which
is a built-in system function which computes the eigenvalues and
eigenvectors of a matrix.

The information on this web page is distributed under the MIT license.

**eigs_test** is available in
a MATLAB version and
an Octave version and
a Python version.

jacobi_eigenvalue, a Python code which implements the Jacobi iteration for the eigenvalues and eigenvectors of a real symmetric matrix.

linear_algebra, a Python code which carries out various linear algebra operations for matrices stored in a variety of formats.

power_method, a Python code which carries out the power method for finding a dominant eigenvalue and its eigenvector.

test_eigen, a Python code which generates random real symmetric and nonsymmetric matrices with known eigenvalues and eigenvectors, to test eigenvalue algorithms.

test_matrix, a Python code which defines test matrices for which the condition number, determinant, eigenvalues, eigenvectors, inverse, null vectors, P*L*U factorization or linear system solution are known. Examples include the Fibonacci, Hilbert, Redheffer, Vandermonde, Wathen and Wilkinson matrices.

- eigs_test.py the source code.
- eigs_test.sh runs all the tests.
- eigs_test.txt the output file.