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Sparse grids and applications = Miam...
~
Workshop on the Preservation of Stability under Discretization ((2001 :)
Sparse grids and applications = Miami 2016 /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Sparse grids and applications/ edited by Jochen Garcke ... [et al.].
Reminder of title:
Miami 2016 /
other author:
Garcke, Jochen.
corporate name:
Workshop on the Preservation of Stability under Discretization
Published:
Cham :Springer International Publishing : : 2018.,
Description:
x, 262 p. :digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Sparse matrices - Congresses. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-75426-0
ISBN:
9783319754260
Sparse grids and applications = Miami 2016 /
Sparse grids and applications
Miami 2016 /[electronic resource] :edited by Jochen Garcke ... [et al.]. - Cham :Springer International Publishing :2018. - x, 262 p. :digital ;24 cm. - Lecture notes in computational science and engineering,1231439-7358 ;. - Lecture notes in computational science and engineering ;52..
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.
ISBN: 9783319754260
Standard No.: 10.1007/978-3-319-75426-0doiSubjects--Topical Terms:
1072530
Sparse matrices
--Congresses.
LC Class. No.: QA188
Dewey Class. No.: 004.36
Sparse grids and applications = Miami 2016 /
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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.
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Mathematics and Statistics (Springer-11649)
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