Domain Decomposition Methods in Science and Engineering XXI [electronic resource] / edited by Jocelyne Erhel, Martin J. Gander, Laurence Halpern, Géraldine Pichot, Taoufik Sassi, Olof Widlund.
Contributor(s): Erhel, Jocelyne [editor.] | Gander, Martin J [editor.] | Halpern, Laurence [editor.] | Pichot, Géraldine [editor.] | Sassi, Taoufik [editor.] | Widlund, Olof [editor.] | SpringerLink (Online service)Material type: TextSeries: Lecture Notes in Computational Science and Engineering: 98Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Description: XX, 973 p. 220 illus., 133 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319057897Subject(s): Mathematics | Applied mathematics | Engineering mathematics | Computer mathematics | Algorithms | Mathematics | Computational Mathematics and Numerical Analysis | Applications of Mathematics | Computational Science and Engineering | AlgorithmsAdditional physical formats: Printed edition:: No titleDDC classification: 518 LOC classification: QA71-90Online resources: Click here to access online
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Preface -- Part I: Plenary Presentations -- Part II: Minisymposia -- Part III: Contributed Presentations.
This volume contains a selection of papers presented at the 21st international conference on domain decomposition methods in science and engineering held in Rennes, France, June 25-29, 2012. Domain decomposition is an active and interdisciplinary research discipline, focusing on the development, analysis and implementation of numerical methods for massively parallel computers. Domain decomposition methods are among the most efficient solvers for large scale applications in science and engineering. They are based on a solid theoretical foundation and shown to be scalable for many important applications. Domain decomposition techniques can also naturally take into account multiscale phenomena. This book contains the most recent results in this important field of research, both mathematically and algorithmically and allows the reader to get an overview of this exciting branch of numerical analysis and scientific computing.