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The Sparse Grids Matlab kit -- a Matlab implementation of sparse grids for high-dimensional function approximation and uncertainty quantification

TLDR
The Sparse Grids Matlab Kit as discussed by the authors is a collection of Matlab functions for high-dimensional interpolation and quadrature, based on the combination technique form of sparse grids.
Abstract
The Sparse Grids Matlab Kit is a collection of Matlab functions for high-dimensional interpolation and quadrature, based on the combination technique form of sparse grids. It is lightweight, high-level and easy to use, good for quick prototyping and teaching. However, it has some features that allow its use also in realistic applications: in particular, the Sparse Grids Matlab Kit is somehow geared towards Uncertainty Quantification, but it is flexible enough for other purposes. The goal of this paper is to provide an overview of the data structure and of mathematical aspects forming the backbone of the software, as well as to compare it with similar software available in literature.

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Sensitivity-based Parameter Calibration of Single- and Dual-continuum Coreflooding Simulation Models

TL;DR: In this article , the authors developed a framework for the stochastic characterization of coreflooding simulation models under two-and three-phase flow conditions taking place within a core sample in the presence of preferential flow of the kind that can be associated with a system of fractures.