risk_matrix, a Python code which computes the adjacency and transition matrices for the game of RISK.
The information on this web page is distributed under the MIT license.
risk_matrix is available in a MATLAB version and an Octave version and a Python version.
chebyshev_matrix, a Python code which defines the Chebyshev differentiation matrix.
jordan_matrix, a Python code which returns a random matrix in Jordan canonical form.
levenshtein_matrix, a Python code which computes the Levenshtein matrix associated with the distance between two strings.
magic_matrix, a Python code which computes a magic matrix, for any odd order n, such that all rows and columns have the same sum.
monopoly_matrix, a Python code which computes the adjacency and transition matrices for the game of Monopoly.
neighbor_risk, a Python code which records information about neighboring pairs of territories in the game of RISK.
plasma_matrix, a Python code which sets up a matrix associated with a problem in plasma physics.
snakes_matrix, a Python code which computes the transition matrix for Snakes and Ladders.
tennis_matrix, a Python code which computes the transition matrix for a game of tennis, which has 17 distinct states.
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.
usa_matrix, a Python code which defines the adjacency matrix for US states, using a variety of matrix formats.
wathen_matrix, a Python code which compares storage schemes (full, banded, sparse triplet, sparse) and solution strategies (A\x, linpack, conjugate gradient (CG)) for linear systems involving the Wathen matrix, which can arise when solving a problem using the finite element method (FEM).
web_matrix, a Python code which stores sample matrices describing a web page network. These matrices are typically very sparse, and the examples here are stored using the sparse triplet (ST) format. They can be used to demonstrate pagerank and other graph algorithms.
wishart_matrix, a Python code which produces sample matrices from the Wishart or Bartlett distributions, useful for sampling random covariance matrices.
