Matrix Factorization, Matrix Decomposition, Svd, Singular Values, Mathematics.
decomposition methods, SVD has several notable advantages: Universality: Unlike some decomposition methods (such as LU decomposition or Cholesky decomposition) that require matrices to have specific properties (like being square or positive definite), SVD is applicable to any shaped matrix.