Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computational Science and Engineering (LNCSE, volume 97)
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About this book
Sparse grids have gained increasing interest in recent years for the numerical treatment of high-dimensional problems. Whereas classical numerical discretization schemes fail in more than three or four dimensions, sparse grids make it possible to overcome the “curse” of dimensionality to some degree, extending the number of dimensions that can be dealt with. This volume of LNCSE collects the papers from the proceedings of the second workshop on sparse grids and applications, demonstrating once again the importance of this numerical discretization scheme. The selected articles present recent advances on the numerical analysis of sparse grids as well as efficient data structures, and the range of applications extends to uncertainty quantification settings and clustering, to name but a few examples.
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Table of contents (14 papers)
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Front Matter
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Back Matter
Editors and Affiliations
Bibliographic Information
Book Title: Sparse Grids and Applications - Munich 2012
Editors: Jochen Garcke, Dirk Pflüger
Series Title: Lecture Notes in Computational Science and Engineering
DOI: https://doi.org/10.1007/978-3-319-04537-5
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-04536-8Published: 29 April 2014
Softcover ISBN: 978-3-319-38153-4Published: 23 August 2016
eBook ISBN: 978-3-319-04537-5Published: 11 April 2014
Series ISSN: 1439-7358
Series E-ISSN: 2197-7100
Edition Number: 1
Number of Pages: VIII, 344
Number of Illustrations: 34 b/w illustrations, 72 illustrations in colour
Topics: Computational Mathematics and Numerical Analysis, Computational Science and Engineering