Strategies for Scaling and Pivoting for Sparse Symmetric Indefinite Problems

作者: Iain S. Duff , Stéphane Pralet

DOI: 10.1137/04061043X

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摘要: We consider ways of implementing preordering and scaling for symmetric systems show the effect using this technique with a multifrontal code sparse indefinite systems. After having presented new method scaling, we propose way an approximation to weighted matching predefine $1 \times 1$ $2 2$ pivots prior ordering analysis phase. also present classes orderings called "(relaxed) constrained orderings" that mix structural numerical criteria.

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