國立虎尾科技大學 |

Uncertainty quantification for hyperbolic and kinetic equations

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Uncertainty quantification for hyperbolic and kinetic equations/ edited by Shi Jin, Lorenzo Pareschi.
其他作者:	Jin, Shi.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	ix, 277p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Differential equations, Hyperbolic. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-67110-9
ISBN:	9783319671109

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.14..

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

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

527745
Differential equations, Hyperbolic.

LC Class. No.: QA374

Dewey Class. No.: 515.353

Uncertainty quantification for hyperbolic and kinetic equations
LDR:02101nam a2200325 a 4500 001 922713
003 DE-He213
005 20180320164703.0
006 m d
007 cr nn 008maaau
008 190624s2017 gw s 0 eng d
020 $a 9783319671109 $q (electronic bk.)
020 $a 9783319671093 $q (paper)
024 7 $a 10.1007/978-3-319-67110-9 $2 doi
035 $a 978-3-319-67110-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA374
072 7 $a PBKJ $2 bicssc
072 7 $a MAT007000 $2 bisacsh
082 0 4 $a 515.353 $2 23
090 $a QA374 $b .U54 2017
245 0 0 $a Uncertainty quantification for hyperbolic and kinetic equations $h [electronic resource] / $c edited by Shi Jin, Lorenzo Pareschi.
260 $a Cham : $c 2017. $b Springer International Publishing : $b Imprint: Springer,
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 527745
650 0 $a Uncertainty (Information theory) $3 644010
650 1 4 $a Mathematics. $3 527692
650 2 4 $a Partial Differential Equations. $3 671119
650 2 4 $a Computational Mathematics and Numerical Analysis. $3 669338
650 2 4 $a Mathematical and Computational Engineering. $3 1139415
650 2 4 $a Numerical and Computational Physics, Simulation. $3 1112293
650 2 4 $a Mathematics in the Humanities and Social Sciences. $3 885667
700 1 $a Jin, Shi. $3 1198495
700 1 $a Pareschi, Lorenzo. $3 1198496
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a SEMA SIMAI springer series ; $v v.14. $3 1198497
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-67110-9
950 $a Mathematics and Statistics (Springer-11649)