Lecture Notes in Computational Science and Engineering

Garcke, Jochen; Pflüger, Dirk

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.

Details

Published by: Springer

Publication Date: 2014-04-29

Format: Hardcover

ISBN-13: 9783319045368

DOI: 10.1007/978-3-319-04537-5

Dimensions: 235cm x155cm

Pages: 344