Sparse Grids and Applications - Miami 2016 [electronic resource] /
Garcke, Jochen.editor.
Pflüger, Dirk.editor.
Webster, Clayton G.editor.
Zhang, Guannan.editor.
Sparse grids are a popular tool 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 flavors, are frequently the method of choice. This volume of LNCSE presents selected papers from the proceedings of the fourth workshop on sparse grids and applications, and demonstrates once again the importance of this numerical discretization scheme. The articles present recent advances in the numerical analysis of sparse grids in connection with a range of applications including computational chemistry, computational fluid dynamics, and big data analytics, to name but a few.
Includes bibliographical references.
Sparse grids are a popular tool 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 flavors, are frequently the method of choice. This volume of LNCSE presents selected papers from the proceedings of the fourth workshop on sparse grids and applications, and demonstrates once again the importance of this numerical discretization scheme. The articles present recent advances in the numerical analysis of sparse grids in connection with a range of applications including computational chemistry, computational fluid dynamics, and big data analytics, to name but a few.
Computer mathematics.
Computer science—Mathematics.
Computer simulation.
Approximation theory.
Computational Mathematics and Numerical Analysis.
Mathematics of Computing.
Simulation and Modeling.
Approximations and Expansions.