Akritas, Alkiviadis G.; Malaschonok, Gennadi I. - In: Mathematics and Computers in Simulation (MATCOM) 67 (2004) 1, pp. 15-31
Let A be an m×n matrix with m≥n. Then one form of the singular-value decomposition of A is A=UTΣV,where U and V are orthogonal and Σ is square diagonal. That is, UUT=Irank(A), VVT=Irank(A), U is rank(A)×m, V is rank(A)×n and...
