Collection of python programs for linear algebra (...progress):
- square matrix multiplication : Compare timings for square matrix multiplication using for loop and Numpy dot() function.
- native and optimized matrix-matrix multiplication : Compare timing performance of a looped native and optimized (loop unrolling) square matrix-matrix implementation with numpy.dot() square matrix-matrix multiplication implementation. See definitions, results (for size = 10, 20 and 30) and conclusion in matrix_multiply_loop_unroll.pdf