Computing the Bidiagonal SVD Through an Associated Tridiagonal Eigenproblem

نویسندگان

  • Osni Marques
  • Paulo B. Vasconcelos
چکیده

In this paper, we present an algorithm for the singular value decomposition (SVD) of a bidiagonal matrix by means of the eigenpairs of an associated symmetric tridiagonal matrix. The algorithm is particularly suited for the computation of a subset of singular values and corresponding vectors. We focus on a sequential implementation, discuss special cases and other issues. We use a large set of bidiagonal matrices to assess the accuracy of the implementation and to identify potential shortcomings. We show that the algorithm can be up to three orders of magnitude faster than existing algorithms, which are limited to the computation of a full SVD.

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تاریخ انتشار 2016