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Recent Advances in Radial Basis Function Collocation Methods


Recent Advances in Radial Basis Function Collocation Methods


SpringerBriefs in Applied Sciences and Technology

von: Wen Chen, Zhuo-Jia Fu, C.S. Chen

53,49 €

Verlag: Springer
Format: PDF
Veröffentl.: 09.11.2013
ISBN/EAN: 9783642395727
Sprache: englisch
Anzahl Seiten: 90

Dieses eBook enthält ein Wasserzeichen.

Beschreibungen

<p>This book surveys the latest advances in radial basis function (RBF) meshless collocation methods which emphasis on recent novel kernel RBFs and new numerical schemes for solving partial differential equations. The RBF collocation methods are inherently free of integration and mesh, and avoid tedious mesh generation involved in standard finite element and boundary element methods. This book focuses primarily on the numerical algorithms, engineering applications, and highlights a large class of novel boundary-type RBF meshless collocation methods. These methods have shown a clear edge over the traditional numerical techniques especially for problems involving infinite domain, moving boundary, thin-walled structures, and inverse problems.</p><p>Due to the rapid development in RBF meshless collocation methods, there is a need to summarize all these new materials so that they are available to scientists, engineers, and graduate students who are interest to apply these newly developed methods for solving real world’s problems. This book is intended to meet this need.</p><p><b>Prof.</b> <b>Wen Chen</b> and <b>Dr.</b> <b>Zhuo-Jia Fu</b> work at Hohai University. Pr<b>of. C.S. Chen</b> works at the University of Southern Mississippi.</p>
<p>Introduction.- Radial basis functions.- Different formulations of the Kansa method – domain discretization.- Boundary-type RBF collocation methods.- Open issues and Perspectives.</p>
Systematically introduces various RBF collocation methods for domain and boundary-only discretization, including some very recent techniques not covered elsewhere Introduces new approaches to constructing characteristic kernel RBFs Provides illustrative benchmark examples Includes open-source codes

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