An algorithm for the generalized singular value decomposition on massively parallel computers

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An algorithm for the generalized singular value decomposition on massively parallel computers

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International Conference on Supercomputing archive
Proceedings of the 5th international conference on Supercomputing table of contents

Cologne, West Germany

Pages: 136 - 145

Year of Publication: 1991

ISBN:0-89791-434-1

Authors

Haesun Park	Computer Science Department, University of Minnesota, Minneapolis, MN
L. Magnus Ewerbring	Ericsson Radio Systems, S-164 80 Stockholm, Sweden and Mathematics and Computer Science Division, 9700 South Cass Avenue, Argonne National Laboratory, Argonne, IL

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SIGARCH: ACM Special Interest Group on Computer Architecture

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ACM New York, NY, USA

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	A. Bjrrck, "I.east Squares Methods," Handbook of Numerical Analysis, Vol. 1: Solution of Equations in Rn, P. G. Ciarlet and J. L. Lions, eds., Elsevier/North Holland, to appear.
	2	A.W. Bojanczyk, L. M. Ewerbring, F. T. Luk, and P. Van Dooren, "An Accurate Product SVD Algorithm," Proc. 2nd International Workshop on SVD and Signal Processing, R. J. Vaccaro, ed., Elsevier, Rhode Island, 1990, to appear.
	3	P. J. Eberlein , Haesun Park, Efficient implementation of Jacobi algorithms and Jacobi sets on distributed memory architectures, Journal of Parallel and Distributed Computing, v.8 n.4, p.358-366, Apr. 1990 [doi>10.1016/0743-7315(90)90134-B]
	4	Lars-Magnus Ewerbring, A new generalization of the singular value decomposition: algorithms and applications, 1989
	5	L. M. Ewerbring , F. T. Luk, Computing the Singular Value Decomposition on the Connection Machine, IEEE Transactions on Computers, v.39 n.1, p.152-155, January 1990 [doi>10.1109/12.46294]
	6	S. Falk and P. Langemeyer, "Das Jacobische Rotations Verfahren fur reelsymmetrische Matrizen-Paare I, II," Elektronische Datenverarbeitung, (i 960), 30-43.
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	8	M T Heath , A J Laub , C C Paige , R C Ward, Computing the singular value decompostion of a product of two matrices, SIAM Journal on Scientific and Statistical Computing, v.7 n.4, p.1147-1159, Oct. 1986 [doi>10.1137/0907078]
	9	F.T. Luk, "A parallel method for computing the generalized singular value decomposition," J. Parallel Distrib. Comp., 2 (1985), 250-260.
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	11	F. T. Luk , H. Park, A Proof of Convergence for Two Parallel Jacobi SVD Algorithms, IEEE Transactions on Computers, v.38 n.6, p.806-811, June 1989 [doi>10.1109/12.24289]
	12	C C Paige, Computing the generalized singular value decomposition, SIAM Journal on Scientific and Statistical Computing, v.7 n.4, p.1126-1146, Oct. 1986 [doi>10.1137/0907077]
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	15	G. W. Stewart, "A method for computing a Generalized Singular Value Decomposition in matrix pencils," Lecture Notes in Mathematics 973, Springer, Berlin 1983, 207-220.
	16	C. F. Van Loan, "Computing the CS and the Generalized Singular Value Decompositions," Num. Math., 46 (1985), 479-491.
	17	C. F. Van Loan, "Generalizing the singular value decomposition," SlAM J. Numer. Anal., 13 (1976), 76-83.