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Einband grossIterative Splitting Methods for Differential Equations
ISBN/GTIN

Iterative Splitting Methods for Differential Equations

E-BookPDFDRM AdobeE-Book
320 Seiten
Englisch
Taylor & Franciserschienen am01.06.2011
This work explains how to solve evolution equations via novel iterative-based splitting methods that efficiently use computational and memory resources. It focuses on systems of parabolic and hyperbolic equations, including convection-diffusion-reaction equations, heat equations, and wave equations. The author analyzes the stability and consistency of the iterative splitting method for ODEs and extends the method to PDEs and spatial- and time-dependent differential equations. He also presents the numerical results of benchmark and real-life applications, including elastics wave propagation and complex flow phenomena.mehr

Produkt

KlappentextThis work explains how to solve evolution equations via novel iterative-based splitting methods that efficiently use computational and memory resources. It focuses on systems of parabolic and hyperbolic equations, including convection-diffusion-reaction equations, heat equations, and wave equations. The author analyzes the stability and consistency of the iterative splitting method for ODEs and extends the method to PDEs and spatial- and time-dependent differential equations. He also presents the numerical results of benchmark and real-life applications, including elastics wave propagation and complex flow phenomena.
Details
Weitere ISBN/GTIN9781439869833
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format HinweisDRM Adobe
Erscheinungsjahr2011
Erscheinungsdatum01.06.2011
Seiten320 Seiten
SpracheEnglisch
Dateigrösse11298 Kbytes
Artikel-Nr.2900498
Rubriken
Genre9200

Inhalt/Kritik

Inhaltsverzeichnis
Introduction. Model Problems. Iterative Decomposition of Ordinary Differential Equations. Decomposition Methods for Partial Differential Equations. Computation of the Iterative Splitting Methods: Algorithmic Part. Extensions of Iterative Splitting Schemes. Numerical Experiments. Summary and Perspectives. Software Tools. Appendix. Bibliography. Index.mehr

Autor

Juergen Geiser is a researcher in the Department of Mathematics at the Humboldt-University of Berlin. His research interests include numerical and computational analysis, partial differential equations, decomposition and discretization methods for hyperbolic and parabolic equations, optimization, scientific computing, and interface analysis.