“…The N diagonal entries of Σ are usually denoted by σ i for i = 1, • • • , N , where N = min{m, n} and σ i are called singular values of A. The singular values are the square roots of the non-zero eigenvalues of both AA T and A T A, and they satisfy the property [13,15] Another useful mathematical expression of SVD is through the tensor product. The SVD of a matrix can be seen as an ordered and weighted sum of rank-1 separable matrices.…”