In linear algebra, the singular value decomposition (SVD) is a factorization of a real or complex matrix, with many useful applications in signal processing and statistics. Formally, the singular value decomposition of an {math|m × n} real or complex matrix {math|M} is a factorization of the form {math|M {{=} UΣV∗}}, where {math|U} is an {math...