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.