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Geometrically Unfitted Finite Element Methods and Applications - Proceedings of the UCL Workshop 2016 (Hardcover, 1st ed. 2017) Loot Price: R4,061
Discovery Miles 40 610
Geometrically Unfitted Finite Element Methods and Applications - Proceedings of the UCL Workshop 2016 (Hardcover, 1st ed....

Geometrically Unfitted Finite Element Methods and Applications - Proceedings of the UCL Workshop 2016 (Hardcover, 1st ed. 2017)

Stephane P. A. Bordas, Erik Burman, Mats G. Larson, Maxim A. Olshanskii

Series: Lecture Notes in Computational Science and Engineering, 121

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Loot Price R4,061 Discovery Miles 40 610 | Repayment Terms: R381 pm x 12*

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This book provides a snapshot of the state of the art of the rapidly evolving field of integration of geometric data in finite element computations. The contributions to this volume, based on research presented at the UCL workshop on the topic in January 2016, include three review papers on core topics such as fictitious domain methods for elasticity, trace finite element methods for partial differential equations defined on surfaces, and Nitsche's method for contact problems. Five chapters present original research articles on related theoretical topics, including Lagrange multiplier methods, interface problems, bulk-surface coupling, and approximation of partial differential equations on moving domains. Finally, two chapters discuss advanced applications such as crack propagation or flow in fractured poroelastic media. This is the first volume that provides a comprehensive overview of the field of unfitted finite element methods, including recent techniques such as cutFEM, traceFEM, ghost penalty, and augmented Lagrangian techniques. It is aimed at researchers in applied mathematics, scientific computing or computational engineering.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Lecture Notes in Computational Science and Engineering, 121
Release date: March 2018
First published: 2017
Editors: Stephane P. A. Bordas • Erik Burman • Mats G. Larson • Maxim A. Olshanskii
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 361
Edition: 1st ed. 2017
ISBN-13: 978-3-319-71430-1
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
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LSN: 3-319-71430-9
Barcode: 9783319714301

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