Matrix sparsification and nested dissection over arbitrary fields

Noga Alon, Raphael Yuster

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

The generalized nested dissection method, developed by Lipton et al. [1979], is a seminal method for solving a linear system Ax = b where A is a symmetric positive definite matrix. The method runs extremely fast whenever Ais a well-separablematrix (such as matrices whose underlying support is planar or avoids a fixed minor). In this work, we extend the nested dissection method to apply to any nonsingular well-separable matrix over any field. The running times we obtain essentially match those of the nested dissection method. An important tool is a novel method for matrix sparsification that preserves determinants and minors, and that guarantees that constant powers of the sparsified matrix remain sparse.

Original languageEnglish (US)
Article number25
JournalJournal of the ACM
Volume60
Issue number4
DOIs
StatePublished - Aug 2013
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence
  • Information Systems
  • Control and Systems Engineering
  • Hardware and Architecture

Keywords

  • Gaussian elimination
  • Linear system
  • Matrix sparsification
  • Nested dissection

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