Python中矩阵SVD分解及还原

python中SVD分解及还原:python import numpy as np from numpy import linalg as la S = np.zeros([5,5]) A=np.random.randint(1,25,[5,5]) u,sigma,vt = la.svd(A) print(A) for i in range(5): S[i][i] = sigma[i] t

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