Sparse Grids and Applications - Stuttgart 2014

  • Jochen Garcke
  • Dirk Pflüger
Conference proceedings

Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 109)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Valeriy Khakhutskyy, Markus Hegland
    Pages 133-162
  3. Katharina Kormann, Eric Sonnendrücker
    Pages 163-190
  4. Fabio Nobile, Lorenzo Tamellini, Francesco Tesei, Raúl Tempone
    Pages 191-220
  5. Jie Shen, Yingwei Wang, Haijun Yu
    Pages 265-289
  6. Back Matter
    Pages 337-344

About these proceedings


This volume of LNCSE is a collection of the papers from the proceedings of the third workshop on sparse grids and applications. Sparse grids are a popular approach 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 guises, are frequently the method of choice, be it spatially adaptive in the hierarchical basis or via the dimensionally adaptive combination technique. 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. The book also discusses a range of applications, including uncertainty quantification and plasma physics.


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

Editors and affiliations

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

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