Decomposition Methods for Differential Equations - Theory and Applications

Informationen zum Autor Jürgen Geiser is a professor in the Department of Mathematics at Humboldt University of Berlin. Zusammenfassung Exploring iterative operator-splitting methods, this work describes the analysis of numerical methods for evolution equations based on temporal and spatial decomposition methods. It generalizes the numerical analysis with respect to the consistency and stability to nonlinear, stiff, and spatial decomposed splitting problems. Inhaltsverzeichnis Preface. Introduction. Modeling: Multi-Physics Problems. Abstract Decomposition and Discretization Methods. Time-Decomposition Methods for Parabolic Equations. Decomposition Methods for Hyperbolic Equations. Spatial Decomposition Methods. Numerical Experiments. Summary and Perspectives. Notation. Appendices. Literature. References. Index.

Product details

• Authors: Juergen Geiser, Juergen (Ernst-Moritz-Arndt University of Geiser, Juergen (Ernst-Moritz-Arndt University of Greifswald Geiser, Juergen (Humboldt University of Berlin Geiser, Geiser Juergen, Juergen Geiser
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 20.05.2009
• EAN: 9781439810965
• ISBN: 978-1-4398-1096-5
• No. of pages: 318
• Series: Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series; Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series
• Subject: Natural sciences, medicine, IT, technology > Mathematics > Analysis