Editors:
Part of the book series: Lecture Notes in Computational Science and Engineering (LNCSE, volume 41)
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Table of contents (39 papers)
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Front Matter
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Methods
About this book
Advanced numerical simulations that use adaptive mesh refinement (AMR) methods have now become routine in engineering and science. Originally developed for computational fluid dynamics applications these methods have propagated to fields as diverse as astrophysics, climate modeling, combustion, biophysics and many others. The underlying physical models and equations used in these disciplines are rather different, yet algorithmic and implementation issues facing practitioners are often remarkably similar. Unfortunately, there has been little effort to review the advances and outstanding issues of adaptive mesh refinement methods across such a variety of fields. This book attempts to bridge this gap. The book presents a collection of papers by experts in the field of AMR who analyze past advances in the field and evaluate the current state of adaptive mesh refinement methods in scientific computing.
Editors and Affiliations
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ASCI Flash Center Department of Astronomy and Astrophysics, University of Chicago, Chicago, USA
Tomasz Plewa, Timur Linde, V. Gregory Weirs
Bibliographic Information
Book Title: Adaptive Mesh Refinement - Theory and Applications
Book Subtitle: Proceedings of the Chicago Workshop on Adaptive Mesh Refinement Methods, Sept. 3-5, 2003
Editors: Tomasz Plewa, Timur Linde, V. Gregory Weirs
Series Title: Lecture Notes in Computational Science and Engineering
DOI: https://doi.org/10.1007/b138538
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
Softcover ISBN: 978-3-540-21147-1Published: 08 December 2004
eBook ISBN: 978-3-540-27039-3Published: 20 December 2005
Series ISSN: 1439-7358
Series E-ISSN: 2197-7100
Edition Number: 1
Number of Pages: XIV, 554
Number of Illustrations: 264 b/w illustrations, 11 illustrations in colour
Topics: Numerical Analysis, Mathematics of Computing, Computational Mathematics and Numerical Analysis, Computational Science and Engineering, Numerical and Computational Physics, Simulation, Math Applications in Computer Science