A Robust and Efficient ILU that Incorporates the Growth of the Inverse Triangular Factors

Authors:
Matthias Bollhöfer
Affiliations:
-
Venue:
SIAM Journal on Scientific Computing
Year:
2003

Citing 0
Cited 5

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Adaptive Techniques for Improving the Performance of Incomplete Factorization Preconditioning

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Improved Balanced Incomplete Factorization

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VBARMS: A variable block algebraic recursive multilevel solver for sparse linear systems

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Abstract

In this paper we present a new ILU decomposition which is based on an existing sparse direct solver. In contrast to many incomplete LU decompositions this ILU incorporates information about the inverse factors L-1 and U-1 which have direct influence on the dropping strategy. We demonstrate in several large scale examples that this implementation constructs a robust preconditioner.