Sparse grids and applications

In the recent decade, there has been growing interest in the numerical treatment of high-dimensional problems. It is well known that classical numerical discretization schemes fail in more than three or four dimensions due to the curse of dimensionality. The technique of sparse grids allows to overcome this problem to some extent under suitable regularity assumptions. This discretization approach is obtained from a multi-scale basis by a tensor product construction and subsequent truncation of the resulting multiresolution series expansion. This volume of LNCSE is a collection of the papers from the proceedings of the workshop on sparse grids and its applications held in May 2011 in Bonn. The selected articles present recent advances in the mathematical understanding and analysis of sparse grid discretization. A particular focus is given to aspects arising from applications.