Overview
Part of the book series: Lecture Notes in Computational Science and Engineering (LNCSE, volume 100)
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Table of contents (15 papers)
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Front Matter
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Back Matter
Keywords
About this book
Meshfree methods, particle methods, and generalized finite element methods have witnessed substantial development since the mid 1990s. The growing interest in these methods is due in part to the fact that they are 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 offer a number of advantageous features which are especially attractive when dealing with multiscale phenomena: a priori knowledge about particular local behavior of the solution can easily be introduced in the meshfree approximation space, and coarse-scale approximations can be seamlessly refined with fine-scale information. This volume collects selected papers presented at the Seventh International Workshop on Meshfree Methods, held in Bonn, Germany in September 2013. They address various aspects of this highly dynamic research field and cover topics from applied mathematics, physics and engineering.
Editors and Affiliations
Bibliographic Information
Book Title: Meshfree Methods for Partial Differential Equations VII
Editors: Michael Griebel, Marc Alexander Schweitzer
Series Title: Lecture Notes in Computational Science and Engineering
DOI: https://doi.org/10.1007/978-3-319-06898-5
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-06897-8Published: 15 December 2014
Softcover ISBN: 978-3-319-38290-6Published: 23 August 2016
eBook ISBN: 978-3-319-06898-5Published: 02 December 2014
Series ISSN: 1439-7358
Series E-ISSN: 2197-7100
Edition Number: 1
Number of Pages: VIII, 324
Number of Illustrations: 99 b/w illustrations, 39 illustrations in colour
Topics: Computational Mathematics and Numerical Analysis, Mathematical and Computational Engineering, Numeric Computing