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Iterative Operator-Splitting Methods for Linear Problems

Please always quote using this URN:urn:nbn:de:0296-matheon-2657
  • 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.

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Metadaten
Author:Jürgen Geiser, Istvan Farago
URN:urn:nbn:de:0296-matheon-2657
Referee:Jürgen Sprekels
Document Type:Preprint, Research Center Matheon
Language:English
Date of first Publication:2005/08/16
Release Date:2005/07/15
Institute:Technische Universität Berlin
Weierstraß-Institut für Angewandte Analysis und Stochastik (WIAS)
Preprint Number:259
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