Matlab package supporting benchmarking of functions with automatic export of measurement data to a CSV file and generation of matrices with desired shapes and properties.
Supported matrix shapes: full, symmetric, upper/lower triangular (non-square as well), diagonal
When multiple shape properties are provided, the generator tries to find the largest matrix shape satisfying all requirements. For all example, merging General matrix type with LowerTriangular creates a lower triangular matrix.
For diagonal and triangular matrices, the range provided in Properties.Random()
currently gets ignored.
Support matrix properties: random, symmetric positive-definite
Short example of using the library
import MatrixGenerator.*;
% creates 3x3 random matrix
generate([3, 3], Properties.Random(), Shape.General());
% creates 3x3 random symmetric matrix with entries in range [-5, 5)
generate([3, 3], Shape.Symmetric(), Properties.Random([-5, 5]))
% 4x4 diagonal and symmetric positive-definite matrix
generate([4,4], Shape.UpperTriangular(), Shape.General(), Shape.Diagonal(), Properties.SPD());