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Accelerating bidiagonal divide and conquer by fast multipole method
by
Ivana Hunjet
Departement of Mathematics, University of Zagreb
Bidiagonal matrices arise when one computes the singular value decomposition (SVD) of a general matrix by first reducing it to a bidiagonal form. Currently, the fastest method for computing all singular values and singular vectors of a bidiagonal matrix larger than n=25 is divide-and-conquer algorithm (BDC). BDC computes all singular values in O(n2) flops and all singular vectors in O(n3) flops. Using fast multipole method (FMM), invented by Carrier, Greengard and Rokhlin for the problem of computing mutual forces on n electrically charged particles, BDC can be accelerated to compute all the singular values in O(n log2 n log22 \epsilon) and all the singular values and vectors in O(n2 log22 \epsilon) flops.
Date received: March 15, 2000
Copyright © 2000 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # caex-13.