Updating Singular Value Decomposition for Rank One Matrix Perturbation

26 Jul 2017 Ratnik Gandhi Amoli Rajgor

An efficient Singular Value Decomposition (SVD) algorithm is an important tool for distributed and streaming computation in big data problems. It is observed that update of singular vectors of a rank-1 perturbed matrix is similar to a Cauchy matrix-vector product... (read more)

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