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Sparse grids and applications = Miam...

Workshop on the Preservation of Stability under Discretization ((2001 :)

Sparse grids and applications = Miami 2016 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Sparse grids and applications/ edited by Jochen Garcke ... [et al.].
其他題名:	Miami 2016 /
其他作者:	Garcke, Jochen.
團體作者:	Workshop on the Preservation of Stability under Discretization
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	x, 262 p. :digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Sparse matrices - Congresses. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-75426-0
ISBN:	9783319754260

Sparse grids and applications = Miami 2016 /
Sparse grids and applicationsMiami 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

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520 $a 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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