Sparse Grids and Applications - Munich 2012

  • Jochen Garcke
  • Dirk Pflüger

Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 97)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Gerrit Buse, Dirk Pflüger, Riko Jacob
    Pages 1-27
  3. Michael Griebel, Helmut Harbrecht
    Pages 55-74
  4. Michael Griebel, Jan Hamaekers
    Pages 75-107
  5. Brendan Harding, Markus Hegland
    Pages 171-193
  6. Christoph Kowitz, Markus Hegland
    Pages 239-253
  7. Benjamin Peherstorfer, Fabian Franzelin, Dirk Pflüger, Hans-Joachim Bungartz
    Pages 255-270
  8. Bettina Schieche, Jens Lang
    Pages 271-293
  9. Back Matter
    Pages 337-344

About these proceedings


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.


combination technique data structures and algorithms high-dimensional approximation sparse grids

Editors and affiliations

  • Jochen Garcke
    • 1
  • Dirk Pflüger
    • 2
  1. 1.Institut für Numerische SimulationUniversität BonnBonnGermany
  2. 2.Institute for Parallel and Distributed SystemsUniversität StuttgartStuttgartGermany

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-04536-8
  • Online ISBN 978-3-319-04537-5
  • Series Print ISSN 1439-7358
  • Series Online ISSN 2197-7100
  • Buy this book on publisher's site