This chapter presents an adaptive method for approximating the singular value decomposition (SVD) of the product AB or the quotient AB-1 of two matrices A and B. Specifically, it computes an approximation of the complete orthogonal decomposition of AB or AB -1. The algorithm is an extension of the ULV decomposition algorithm.