Iterative operator-splitting methods for linear problems

I. Faragó, J. Geiser

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

The operator-splitting methods are based on splitting of the complex problem into a sequence of simpler tasks. A useful method is the iterative splitting method which ensures a consistent approximation in each step. In our paper, we suggest a new method which is based on the combination of the splitting time interval and the traditional iterative operator splitting. We analyse the local splitting error of the method. Numerical examples are given in order to demonstrate the method.

Original languageEnglish
Pages (from-to)255-263
Number of pages9
JournalInternational Journal of Computational Science and Engineering
Volume3
Issue number4
DOIs
Publication statusPublished - Dec 1 2007

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Keywords

  • Higher order accuracy
  • Iterative method
  • Local error
  • Operator splitting

ASJC Scopus subject areas

  • Software
  • Modelling and Simulation
  • Hardware and Architecture
  • Computational Mathematics
  • Computational Theory and Mathematics

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