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A generalized envelope method for sparse factorization by rows
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Volume 17 ,  Issue 1  (March 1991) table of contents
Pages: 112 - 129  
Year of Publication: 1991
ISSN:0098-3500
Author
Joseph W. H. Liu  York Univ., Toronto, Ont., Canada
Publisher
ACM  New York, NY, USA
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ABSTRACT

A generalized form of the envelope method is proposed for the solution of large sparse symmetric and positive definite matrices by rows. The method is demonstated to have practical advantages over the conventional column-oriented factorization using compressed column storage or the multifrontal method using full frontal submatrices.


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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ASHCRAFT, C., GRIMES, R., LEWIS, J., PEYTON, B., AND SIMON, $. Progress in sparse matrix methods for large sparse linear systems on vector supercomputers Int. J. Supercomput. Appl., 1, 4 (1987), 10-30.
 
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GEORGE, J. A., HEATH, M., AND LIU, J. W. H. Parallel Cholesky factorization on a shared-memory multiprocessor. Linear Algebra and its Appl. 77 (1986) 165-187.
 
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GILBERT, J. R., AND PEIERLS, T. Sparse partial pivoting in time proportional to arithmetic operations. SlAM J. Sci. Stat. Comput. 9 (1988) 862-874.
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Liu, J. W.H. A collection of routines for an implementation of the multifrontal method. Tech. Rep. CS-87-10, Dept. of Computer Science, York University, North York, Ontario, 1987.
 
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Liu, J. W.H. A generalized envelope method for sparse factorization by rows. Tech. Rep. CS-88-09, Dept. of Computer Science, York University, North York, Ontario, 1988.
 
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MUNKSGAARD, N. New factorization codes for sparse symmetric and positive definite matrices. BIT, 19 (1979) 43-65.
 
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PETERS, F. J. Sparse matrices and substructures. Mathematical Centre Tracts 119, Matematisch Centrum, Amsterdam, The Netherlands, 1979.
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REVIEW

"Andy Roy Magid : Reviewer"

The generalized envelope method is an approach to the Cholesky decomposition A=LLT of a sparse s  more...