Sparse Grids and Applications - Miami 2016

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.

Summary

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.

Product details

• Assisted by: Clayton G Webster et al (Editor), Jochen Garcke (Editor), Dir Pflüger (Editor), Dirk Pflüger (Editor), Clayton G. Webster (Editor), Guannan Zhang (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2019
• EAN: 9783030092276
• ISBN: 978-3-0-3009227-6
• No. of pages: 262
• Dimensions: 155 mm x 14 mm x 235 mm
• Weight: 421 g
• Illustrations: X, 262 p. 56 illus., 41 illus. in color.
• Series: Lecture Notes in Computational Science and Engineering
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; C, Mathematics and Statistics, Mathematics of Computing, Computational Mathematics and Numerical Analysis, Computer mathematics, Differential calculus & equations, Mathematical theory of computation, Computer science—Mathematics, Maths for computer scientists, Computer simulation, Computer modelling & simulation, Simulation and Modeling, Approximations and Expansions, Approximation theory, Computer Modelling