Singular value decomposition is a powerful computational method used to analyze the matrix and which has many applications in various fields. Its essence lies in the expansion of the original matrix as a product of three matrices: two orthogonal and one diagonal. One consequence of this expansion is the possibility of approximating the original matrix… (More)