A new iterative method for solving large-scale Markov chains

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, we propose a new iterative method for solving Large-Scale Markov chains. This method combines some of the well known techniques such as aggregation, Gauss-Seidel effect and overrelaxation. Our aim is to take advantage of those techniques for accelerating the convergence rate.

Original languageEnglish
Title of host publicationQuantitative Evaluation of Computing and Communication Systems - 8th International Conference on Modelling Techniques and Tools for Computer Performance Evaluation Performance Tools 1995 and 8th GI/ITG Conference on Measuring, Modelling and Evaluating Computing and Communication Systems MMB 1995, Proceedings
EditorsHeinz Beilner, Falko Bause
PublisherSpringer Verlag
Pages180-193
Number of pages14
ISBN (Print)9783540603009
DOIs
Publication statusPublished - 1995
Externally publishedYes
Event8th International Conference on Modelling Techniques and Tools for Computer performance Evaluation, Performance Tools 1995 and 8th GI/ITG Conference on Measuring, Modelling and Evaluating Computing and Communication Systems, MMB 1995 - Heidelberg, Germany
Duration: Sep 20 1995Sep 22 1995

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume977
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th International Conference on Modelling Techniques and Tools for Computer performance Evaluation, Performance Tools 1995 and 8th GI/ITG Conference on Measuring, Modelling and Evaluating Computing and Communication Systems, MMB 1995
Country/TerritoryGermany
CityHeidelberg
Period9/20/959/22/95

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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