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Sparse Grids and Applications - Miami 2016

  • Jochen Garcke
  • Dirk Pflüger
  • Clayton G. Webster
  • Guannan Zhang

Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 123)

Table of contents

  1. Front Matter
    Pages i-x
  2. Ionuţ-Gabriel Farcaş, Paul Cristian Sârbu, Hans-Joachim Bungartz, Tobias Neckel, Benjamin Uekermann
    Pages 43-68
  3. Fabian Franzelin, Dirk Pflüger
    Pages 69-91
  4. Alfredo Parra Hinojosa, Hans-Joachim Bungartz, Dirk Pflüger
    Pages 93-115
  5. P. Jantsch, C. G. Webster
    Pages 117-134
  6. Back Matter
    Pages 253-262

About these proceedings

Introduction

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.

Keywords

sparse grids high-dimensional approximation efficient data structures and algorithms uncertainty quantification parameterized partial differential equations

Editors and affiliations

  • Jochen Garcke
    • 1
  • Dirk Pflüger
    • 2
  • Clayton G. Webster
    • 3
  • Guannan Zhang
    • 4
  1. 1.Institut für Numerische SimulationUniversität Bonn BonnGermany
  2. 2.Institute for Parallel and Distributed SystemsUniversität StuttgartStuttgartGermany
  3. 3.Department of MathematicsUniversity of TennesseeKnoxvilleUSA
  4. 4.Oak Ridge National LaboratoryOak RidgeUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-75426-0
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-75425-3
  • Online ISBN 978-3-319-75426-0
  • Series Print ISSN 1439-7358
  • Series Online ISSN 2197-7100
  • Buy this book on publisher's site
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