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Uncertainty quantification for hyper...

Jin, Shi.

Uncertainty quantification for hyperbolic and kinetic equations

Record Type:	Electronic resources : Monograph/item
Title/Author:	Uncertainty quantification for hyperbolic and kinetic equationsedited by Shi Jin, Lorenzo Pareschi.
other author:	Jin, Shi.
Published:	Cham :Springer International Publishing :2017.
Description:	ix, 277p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Differential equations, Hyperbolic.
Online resource:	http://dx.doi.org/10.1007/978-3-319-67110-9
ISBN:	9783319671109$q(electronic bk.)

Uncertainty quantification for hyperbolic and kinetic equations
Uncertainty quantification for hyperbolic and kinetic equations[electronic resource] /edited by Shi Jin, Lorenzo Pareschi. - Cham :Springer International Publishing :2017. - ix, 277p. :ill. (some col.), digital ;24 cm. - SEMA SIMAI springer series,v.142199-3041 ;. - SEMA SIMAI springer series ;v.3..

1 The Stochastic Finite Volume Method -- 2 Uncertainty Modeling and Propagation in Linear Kinetic Equations -- 3 Numerical Methods for High-Dimensional Kinetic Equations -- 4 From Uncertainty Propagation in Transport Equations to Kinetic Polynomials -- 5 Uncertainty Quantification for Kinetic Models in Socio-Economic and Life Sciences -- 6 Uncertainty Quantification for Kinetic Equations -- 7 Monte-Carlo Finite-Volume Methods in Uncertainty Quantification for Hyperbolic Conservation Laws.

This book explores recent advances in uncertainty quantification for hyperbolic, kinetic, and related problems. The contributions address a range of different aspects, including: polynomial chaos expansions, perturbation methods, multi-level Monte Carlo methods, importance sampling, and moment methods. The interest in these topics is rapidly growing, as their applications have now expanded to many areas in engineering, physics, biology and the social sciences. Accordingly, the book provides the scientific community with a topical overview of the latest research efforts.

ISBN: 9783319671109$q(electronic bk.)

Standard No.: 10.1007/978-3-319-67110-9doiSubjects--Topical Terms:

199039
Differential equations, Hyperbolic.

LC Class. No.: QA374

Dewey Class. No.: 515.353

Uncertainty quantification for hyperbolic and kinetic equations
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245 0 0 $a Uncertainty quantification for hyperbolic and kinetic equations $h [electronic resource] / $c edited by Shi Jin, Lorenzo Pareschi.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a ix, 277p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SEMA SIMAI springer series, $x 2199-3041 ; $v v.14
505 0 $a 1 The Stochastic Finite Volume Method -- 2 Uncertainty Modeling and Propagation in Linear Kinetic Equations -- 3 Numerical Methods for High-Dimensional Kinetic Equations -- 4 From Uncertainty Propagation in Transport Equations to Kinetic Polynomials -- 5 Uncertainty Quantification for Kinetic Models in Socio-Economic and Life Sciences -- 6 Uncertainty Quantification for Kinetic Equations -- 7 Monte-Carlo Finite-Volume Methods in Uncertainty Quantification for Hyperbolic Conservation Laws.
520 $a This book explores recent advances in uncertainty quantification for hyperbolic, kinetic, and related problems. The contributions address a range of different aspects, including: polynomial chaos expansions, perturbation methods, multi-level Monte Carlo methods, importance sampling, and moment methods. The interest in these topics is rapidly growing, as their applications have now expanded to many areas in engineering, physics, biology and the social sciences. Accordingly, the book provides the scientific community with a topical overview of the latest research efforts.
650 0 $a Differential equations, Hyperbolic. $3 199039
650 0 $a Uncertainty (Information theory) $3 206405
650 1 4 $a Mathematics. $3 184409
650 2 4 $a Partial Differential Equations. $3 274075
650 2 4 $a Computational Mathematics and Numerical Analysis. $3 274020
650 2 4 $a Mathematical and Computational Engineering. $3 775095
650 2 4 $a Numerical and Computational Physics, Simulation. $3 758154
650 2 4 $a Mathematics in the Humanities and Social Sciences. $3 557714
700 1 $a Jin, Shi. $3 798721
700 1 $a Pareschi, Lorenzo. $3 489747
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a SEMA SIMAI springer series ; $v v.3. $3 684046
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-67110-9
950 $a Mathematics and Statistics (Springer-11649)