02-Jun-2023 16:21:58 svd_powers_test(): MATLAB/Octave version 5.2.0 Test svd_powers(). powers_data_test(): powers_data() generates a dataset of powers. powers_data() generated this data: 1.0000 -1.0000 1.0000 -1.0000 1.0000 -1.0000 1.0000 -1.0000 1.0000 -0.8000 0.6400 -0.5120 0.4096 -0.3277 0.2621 -0.2097 1.0000 -0.6000 0.3600 -0.2160 0.1296 -0.0778 0.0467 -0.0280 1.0000 -0.4000 0.1600 -0.0640 0.0256 -0.0102 0.0041 -0.0016 1.0000 -0.2000 0.0400 -0.0080 0.0016 -0.0003 0.0001 -0.0000 1.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 1.0000 0.2000 0.0400 0.0080 0.0016 0.0003 0.0001 0.0000 1.0000 0.4000 0.1600 0.0640 0.0256 0.0102 0.0041 0.0016 1.0000 0.6000 0.3600 0.2160 0.1296 0.0778 0.0467 0.0280 1.0000 0.8000 0.6400 0.5120 0.4096 0.3277 0.2621 0.2097 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 svd_vectors_test(): svd_vectors() computes SVD vectors. Data is a set of power vectors. Do SVD analysis. Display the SVD vectors. Graphic saved as "svd_vectors_0.png" Graphic saved as "svd_vectors_1.png" Graphic saved as "svd_vectors_2.png" Graphic saved as "svd_vectors_3.png" Graphic saved as "svd_vectors_4.png" Graphic saved as "svd_vectors_5.png" Graphic saved as "svd_vectors_6.png" Graphic saved as "svd_vectors_7.png" Graphic saved as "svd_vectors_8.png" Graphic saved as "svd_values.png" svd_project_test(): Compute singular vectors for x(i)^(j-1). Then take an arbitrary vector. Approximate it with 0, 1, 2, ... singular vectors. Graphics saved as "svd_project_test_0.png" Graphics saved as "svd_project_test_1.png" Graphics saved as "svd_project_test_2.png" Graphics saved as "svd_project_test_3.png" Graphics saved as "svd_project_test_4.png" Graphics saved as "svd_project_test_5.png" Graphics saved as "svd_project_test_6.png" Graphics saved as "svd_project_test_7.png" Graphics saved as "svd_project_test_8.png" svd_powers_test(): Normal end of execution. 02-Jun-2023 16:22:03