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Sparse matrix orderings for factorized inverse preconditioners

By M. Benzi and M. Tuama

Abstract

The effect of reorderings on the performance of factorized sparse approximate inverse preconditioners is considered. It is shown that certain reorderings can be very beneficial both in the preconditioner construction phase and in terms of the rate of convergence of the preconditioned iteration

Topics: Parallel Processing, 99 Mathematics, Computers, Information Science, Management, Law, Miscellaneous, Performance Testing, Algorithms, Iterative Methods, Matrices
Publisher: Los Alamos National Laboratory
Year: 1998
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Provided by: UNT Digital Library
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