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Cited by 419

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

A column pre-ordering strategy for the unsymmetric-pattern multifrontal method

Davis, Timothy A.·2004·ACM Transactions on Mathematical Software

Abstract

A new method for sparse LU factorization is presented that combines a column pre-ordering strategy with a right-looking unsymmetric-pattern multifrontal numerical factorization. The column ordering is selected to give a good a priori upper bound on fill-in and then refined during numerical factorization (while preserving the bound). Pivot rows are selected to maintain numerical stability and to preserve sparsity. The method analyzes the matrix and automatically selects one of three pre-ordering and pivoting strategies. The number of nonzeros in the LU factors computed by the method is typically less than or equal to those found by a wide range of unsymmetric sparse LU factorization methods, including left-looking methods and prior multifrontal methods.

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Metadata

Authors
Davis, T. A.
Venue
ACM Transactions on Mathematical Software
Published
2004-06
Volume
30
Issue
2
Pages
165-195
ISSN
  • 0098-3500 (ISSN-L)
  • 1557-7295
OpenAlex
W1987902628
Cited by
419
References
27
FWCI
19.05
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A column pre-ordering strategy for the unsymmetric-pattern multifrontal method. https://app.cochat.ai/papers/10.1145/992200.992205
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Davis, T. A. (2004). A column pre-ordering strategy for the unsymmetric-pattern multifrontal method. ACM Transactions on Mathematical Software. https://doi.org/10.1145/992200.992205

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.