| Two Fast Algorithms for Sparse Matrices: Multiplication and Permuted Transposition |
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ACM Transactions on Mathematical Software (TOMS)
archive
Volume 4 , Issue 3 (September 1978)
table of contents
Pages: 250 - 269
Year of Publication: 1978
ISSN:0098-3500
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Author
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Fred G. Gustavson
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Mathematical Sciences Department, IBM T.J. Watson Research Center, P.O. Box, 218, Yorktown Heights, NY
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| Bibliometrics |
Downloads (6 Weeks): 40, Downloads (12 Months): 308, Citation Count: 8
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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.
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CURTIS, A., AND REID, J The solution of large sparse unsymmetric systems of linear equations J. Inst. Math Appl 8 (1971), 344-353.
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GEORGE, J.A. On block ehmmatlon for sparse linear systems. SIAM J. Numer. Anal. 11 (1974), 585-6O3.
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GUSTAVSON, F G. Finding the block lower triangular form of a sparse matrix. In Sparse Matrix Computattons, J Bunch and D. Rose, Eds., Academic Press, New York, 1976, pp. 275-289
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GUSTAVSON, F G Some basic techmques for solving sparse systems of linear equations. In Sparse Matrtces and Thew Apphcattons, D. Rose and R. Wdloughby, Eds., Plenum Press, New York, Jan 1973, pp. 67-76.
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GUSTAVSON, F.G. Permuting matrices stored m sparse format. Disclosure No. 8-72-001, IBM Tech. D~sclosure Bull. 16, 1 (June 1973), 357-359
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GUSTAVSON, F G. Some algorithms for sparse Gaussian elimination. To appear.
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LORIN, H Sorting and Sort Systems. Addison-Wesley, Reading, Mass., 1975, p. 152.
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REID, J. Sparse matrices. Proc. IMA Conf on State-of-the-Art m Numer. Anal., York, April 1976, p6.
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ROSE, D., AND TARJAN, R. Algorithmic aspects of vertex elimination on directed graphs. To appear in SIAM J. Computng.
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STRASSEN, V. Gausslan ehmlnatlon is not optimal. Numer Math. 13 (1964), 354-356.
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TINNEY, W., AND WALKER, J. Dtrect solutions of sparse network equations optimally ordered triangular factonzation Proc. IEEE 55, 11 (Nov. 1967), 1801-1809
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WILLOUGHBY, R.A. Sparse matrix algorithms and their relation to problem classes and computer architecture. In Large Sparse Sets of L~near Equations, J. Reid, Ed., Academic Press, London and New York, pp. 255-277.
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CITED BY 8
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R. C. Agarwal , F. G. Gustavson , M. Zubair, A high performance algorithm using pre-processing for the sparse matrix-vector multiplication, Proceedings of the 1992 ACM/IEEE conference on Supercomputing, p.32-41, November 16-20, 1992, Minneapolis, Minnesota, United States
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