A generalized envelope method for sparse factorization by rows

Author:

Liu Joseph W. H.1

Affiliation:

1. York Univ., Toronto, Ont., Canada

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.

Publisher

Association for Computing Machinery (ACM)

Subject

Applied Mathematics,Software

Reference18 articles.

1. The influence of relaxed supernode partitions on the multifrontal method

2. Progress in sparse matrix methods for large sparse linear systems on vector supercomputers Int;ASHCRAFT C.;J. Supercomput. Appl.,1987

3. General Sparse Elimination Requires No Permanent Integer Storage

4. Lecture Notes ~n Mathemattcs (912);DUFF I. S.,1982

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