08-Jan-2022 10:10:09 svd_truncated_test(): MATLAB/Octave version 9.8.0.1380330 (R2020a) Update 2 Demonstrate the use of the truncated or economy-size Singular Value Decomposition (SVD) for cases where the sizes of M and N are very different. SVD_TRUNCATED_U_TEST M = 4 N = 3 A: Col: 1 2 3 Row 1 : 0.814724 0.632359 0.957507 2 : 0.905792 0.0975404 0.964889 3 : 0.126987 0.278498 0.157613 4 : 0.913376 0.546882 0.970593 Maximum error |A - U*S*V'| = 6.66134e-16 Recomputed A = U * S * V': Col: 1 2 3 Row 1 : 0.814724 0.632359 0.957507 2 : 0.905792 0.0975404 0.964889 3 : 0.126987 0.278498 0.157613 4 : 0.913376 0.546882 0.970593 SVD_TRUNCATED_V_TEST M = 3 N = 4 A: Col: 1 2 3 4 Row 1 : 0.957167 0.141886 0.792207 0.0357117 2 : 0.485376 0.421761 0.959492 0.849129 3 : 0.80028 0.915736 0.655741 0.933993 Maximum error |A - U*S*V'| = 6.66134e-16 Recomputed A = U * S * V': Col: 1 2 3 4 Row 1 : 0.957167 0.141886 0.792207 0.0357117 2 : 0.485376 0.421761 0.959492 0.849129 3 : 0.80028 0.915736 0.655741 0.933993 SVD_TRUNCATED_TEST: Normal end of execution. 08-Jan-2022 10:10:09