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Domain Decomposition Methods in Science and Engineering XVI

Contributor(s): Widlund, Olof B [editor.] | Keyes, David E [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computational Science and Engineering: 55Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.Description: XXI, 763 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540344698.Subject(s): Engineering | Computer science -- Mathematics | Computer mathematics | Physics | Engineering | Engineering, general | Computational Mathematics and Numerical Analysis | Computational Science and Engineering | Numerical and Computational Physics | Mathematics of ComputingDDC classification: 620 Online resources: Click here to access online
Contents:
Plenary Presentations -- Minisymposia -- Contributed Presentations.
In: Springer eBooksSummary: Domain decomposition is an active, interdisciplinary research area concerned with the development, analysis, and implementation of coupling and decoupling strategies in mathematical and computational models of natural and engineered systems. Since the advent of hierarchical distributed memory computers, it has been motivated by considerations of concurrency and locality in a wide variety of large-scale problems, continuous and discrete. Historically, it emerged from the analysis of partial differential equations, beginning with the work of Schwarz in 1870. The present volume sets forth new contributions in areas of numerical analysis, computer science, scientific and industrial applications, and software development.
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E books E books PK Kelkar Library, IIT Kanpur
Available EBK9296
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Plenary Presentations -- Minisymposia -- Contributed Presentations.

Domain decomposition is an active, interdisciplinary research area concerned with the development, analysis, and implementation of coupling and decoupling strategies in mathematical and computational models of natural and engineered systems. Since the advent of hierarchical distributed memory computers, it has been motivated by considerations of concurrency and locality in a wide variety of large-scale problems, continuous and discrete. Historically, it emerged from the analysis of partial differential equations, beginning with the work of Schwarz in 1870. The present volume sets forth new contributions in areas of numerical analysis, computer science, scientific and industrial applications, and software development.

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