  The Sparse Grids Matlab Kit provides a Matlab implementation of sparse grids,
and can be used for approximating high-dimensional functions and, in
particular, for surrogate-model-based uncertainty quantification. It is
lightweight, high-level and easy to use, good for quick prototyping and
teaching; however, it is equipped with some features that allow its use also in
realistic applications. The goal of this paper is to provide an overview of the
data structure and of the mathematical aspects forming the basis of the
software, as well as comparing the current release of our package to similar
available software.
