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Meshfree Methods for Partial Differential Equations VIII / edited by Michael Griebel, Marc Alexander Schweitzer
(Lecture Notes in Computational Science and Engineering. ISSN:21977100 ; 115)
版 | 1st ed. 2017. |
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出版者 | Cham : Springer International Publishing : Imprint: Springer |
出版年 | 2017 |
本文言語 | 英語 |
大きさ | VIII, 240 p. 69 illus., 58 illus. in color : online resource |
著者標目 | Griebel, Michael editor Schweitzer, Marc Alexander editor SpringerLink (Online service) |
件 名 | LCSH:Mathematics -- Data processing
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LCSH:Computer-aided engineering LCSH:Numerical analysis LCSH:Computer simulation LCSH:Mathematical models FREE:Computational Science and Engineering FREE:Computer-Aided Engineering (CAD, CAE) and Design FREE:Numerical Analysis FREE:Computer Modelling FREE:Mathematical Modeling and Industrial Mathematics |
一般注記 | There have been substantial developments in meshfree methods, particle methods, and generalized finite element methods since the mid 1990s. The growing interest in these methods is in part due to the fact that they offer extremely flexible numerical tools and can be interpreted in a number of ways. For instance, meshfree methods can be viewed as a natural extension of classical finite element and finite difference methods to scattered node configurations with no fixed connectivity. Furthermore, meshfree methods have a number of advantageous features that are especially attractive when dealing with multiscale phenomena: A-priori knowledge about the solution’s particular local behavior can easily be introduced into the meshfree approximation space, and coarse scale approximations can be seamlessly refined by adding fine scale information. However, the implementation of meshfree methods and their parallelization also requires special attention, for instance with respect to numerical integration HTTP:URL=https://doi.org/10.1007/978-3-319-51954-8 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783319519548 |
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EB00232482 |
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