Abstract
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.
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