Meshfree Methods for Partial Differential Equations VIII (Paperback, Softcover reprint of the original 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Lecture Notes in Computational Science and Engineering, 115
Release date:	July 2018
First published:	2017
Editors:	Michael Griebel • Marc Alexander Schweitzer
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Paperback
Pages:	240
Edition:	Softcover reprint of the original 1st ed. 2017
ISBN-13:	978-3-319-84787-0
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Books > Professional & Technical > Technology: general issues > Technical design > Computer aided design (CAD)
LSN:	3-319-84787-2
Barcode:	9783319847870

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