Algorithms and software for in-core factorization of sparse symmetric positive definite matrices

D. J. Rose, G. G. Whitten, A. H. Sherman, R. E. Tarjan

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

This paper surveys the current state-of-the-art in the solution by Gaussian elimination of sparse, symmetric, and positive definite systems of linear equations. The most important in-core implementations of LDLt factorization are described and compared based on the results of numerical experiments.

Original languageEnglish (US)
Pages (from-to)597-608
Number of pages12
JournalComputers and Structures
Volume11
Issue number6
DOIs
StatePublished - Jan 1 1980
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Modeling and Simulation
  • Materials Science(all)
  • Mechanical Engineering
  • Computer Science Applications

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