Editors:
Part of the book series: Lecture Notes in Computational Science and Engineering (LNCSE, volume 123)
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Table of contents (10 papers)
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Front Matter
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Back Matter
About this book
Sparse grids are a popular tool for the numerical treatment of high-dimensional problems. Where classical numerical discretization schemes fail in more than three or four dimensions, sparse grids, in their different flavors, are frequently the method of choice.
This volume of LNCSE presents selected papers from the proceedings of the fourth workshop on sparse grids and applications, and demonstrates once again the importance of this numerical discretization scheme. The articles present recent advances in the numerical analysis of sparse grids in connection with a range of applications including computational chemistry, computational fluid dynamics, and big data analytics, to name but a few.
Editors and Affiliations
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Institut für Numerische Simulation, Universität Bonn , Bonn, Germany
Jochen Garcke
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Institute for Parallel and Distributed Systems, Universität Stuttgart, Stuttgart, Germany
Dirk Pflüger
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Department of Mathematics, University of Tennessee, Knoxville, USA
Clayton G. Webster
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Oak Ridge National Laboratory, Oak Ridge, USA
Guannan Zhang
Bibliographic Information
Book Title: Sparse Grids and Applications - Miami 2016
Editors: Jochen Garcke, Dirk Pflüger, Clayton G. Webster, Guannan Zhang
Series Title: Lecture Notes in Computational Science and Engineering
DOI: https://doi.org/10.1007/978-3-319-75426-0
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-75425-3Published: 21 June 2018
Softcover ISBN: 978-3-030-09227-6Published: 01 February 2019
eBook ISBN: 978-3-319-75426-0Published: 20 June 2018
Series ISSN: 1439-7358
Series E-ISSN: 2197-7100
Edition Number: 1
Number of Pages: X, 262
Number of Illustrations: 15 b/w illustrations, 41 illustrations in colour
Topics: Computational Mathematics and Numerical Analysis, Mathematics of Computing, Simulation and Modeling, Approximations and Expansions