License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.09061.3
URN: urn:nbn:de:0030-drops-20803
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2009/2080/
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Daitch, Samuel I. ; Spielman, Daniel A.

A Nearly-Linear Time Algorithm for Approximately Solving Linear Systems in a Symmetric M-Matrix

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Abstract

We present an algorithm for solving a linear system in a symmetric M-matrix.
In particular, for $n times n$ symmetric M-matrix $M$, we show how to find a diagonal matrix $D$ such that
$DMD$ is diagonally-dominant. To compute $D$, the algorithm must solve $O{log n}$ linear systems in diagonally-dominant matrices. If we solve these diagonally-dominant systems approximately using the Spielman-Teng
nearly-linear time solver, then we obtain an algorithm for approximately solving linear systems in symmetric M-matrices, for which the expected running time is also nearly-linear.

BibTeX - Entry

@InProceedings{daitch_et_al:DagSemProc.09061.3,
  author =	{Daitch, Samuel I. and Spielman, Daniel A.},
  title =	{{A Nearly-Linear Time Algorithm for Approximately Solving Linear Systems in a Symmetric M-Matrix}},
  booktitle =	{Combinatorial Scientific Computing},
  pages =	{1--4},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9061},
  editor =	{Uwe Naumann and Olaf Schenk and Horst D. Simon and Sivan Toledo},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2009/2080},
  URN =		{urn:nbn:de:0030-drops-20803},
  doi =		{10.4230/DagSemProc.09061.3},
  annote =	{Keywords: M-matrix, diagonally-dominant matrix, linear system solver, iterative algorithm, randomized algorithm, network flow, gain graph}
}

Keywords: M-matrix, diagonally-dominant matrix, linear system solver, iterative algorithm, randomized algorithm, network flow, gain graph
Collection: 09061 - Combinatorial Scientific Computing
Issue Date: 2009
Date of publication: 24.07.2009

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