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Polynomial Chaos Methods for Hyperbo...

Pettersson, Mass Per.

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Polynomial Chaos Methods for Hyperbolic Partial Differential Equations = Numerical Techniques for Fluid Dynamics Problems in the Presence of Uncertainties /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Polynomial Chaos Methods for Hyperbolic Partial Differential Equations/ by Mass Per Pettersson, Gianluca Iaccarino, Jan Nordstrom.
Reminder of title:	Numerical Techniques for Fluid Dynamics Problems in the Presence of Uncertainties /
Author:	Pettersson, Mass Per.
other author:	Iaccarino, Gianluca.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xi, 214 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Random Field Representation -- Polynomial Chaos Methods -- Numerical Solution of Hyperbolic Problems -- Linear Transport -- Nonlinear Transport -- Boundary Conditions and Data -- Euler Equations -- A Hybrid Scheme for Two-Phase Flow -- Appendices.
Contained By:	Springer eBooks
Subject:	Differential equations, Hyperbolic - Numerical solutions. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-10714-1
ISBN:	9783319107141 (electronic bk.)

Polynomial Chaos Methods for Hyperbolic Partial Differential Equations = Numerical Techniques for Fluid Dynamics Problems in the Presence of Uncertainties /
Pettersson, Mass Per.

Polynomial Chaos Methods for Hyperbolic Partial Differential EquationsNumerical Techniques for Fluid Dynamics Problems in the Presence of Uncertainties /[electronic resource] :by Mass Per Pettersson, Gianluca Iaccarino, Jan Nordstrom. - Cham :Springer International Publishing :2015. - xi, 214 p. :ill. (some col.), digital ;24 cm. - Mathematical engineering,2192-4732. - Mathematical engineering..

Random Field Representation -- Polynomial Chaos Methods -- Numerical Solution of Hyperbolic Problems -- Linear Transport -- Nonlinear Transport -- Boundary Conditions and Data -- Euler Equations -- A Hybrid Scheme for Two-Phase Flow -- Appendices.

This monograph presents computational techniques and numerical analysis to study conservation laws under uncertainty using the stochastic Galerkin formulation. With the continual growth of computer power, these methods are becoming increasingly popular as an alternative to more classical sampling-based techniques. The approach described in the text takes advantage of stochastic Galerkin projections applied to the original conservation laws to produce a large system of modified partial differential equations, the solutions to which directly provide a full statistical characterization of the effect of uncertainties. Polynomial Chaos Methods of Hyperbolic Partial Differential Equations focuses on the analysis of stochastic Galerkin systems obtained for linear and non-linear convection-diffusion equations and for a systems of conservation laws; a detailed well-posedness and accuracy analysis is presented to enable the design of robust and stable numerical methods. The exposition is restricted to one spatial dimension and one uncertain parameter as its extension is conceptually straightforward. The numerical methods designed guarantee that the solutions to the uncertainty quantification systems will converge as the mesh size goes to zero. Examples from computational fluid dynamics are presented together with numerical methods suitable for the problem at hand: stable high-order finite-difference methods based on summation-by-parts operators for smooth problems, and robust shock-capturing methods for highly nonlinear problems. Academics and graduate students interested in computational fluid dynamics and uncertainty quantification will find this book of interest. Readers are expected to be familiar with the fundamentals of numerical analysis. Some background in stochastic methods is useful but not necessary.

ISBN: 9783319107141 (electronic bk.)

Standard No.: 10.1007/978-3-319-10714-1doiSubjects--Topical Terms:

709004
Differential equations, Hyperbolic
--Numerical solutions.

LC Class. No.: QA377

Dewey Class. No.: 518.64

Polynomial Chaos Methods for Hyperbolic Partial Differential Equations = Numerical Techniques for Fluid Dynamics Problems in the Presence of Uncertainties /
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100 1 $a Pettersson, Mass Per. $3 2139340
245 1 0 $a Polynomial Chaos Methods for Hyperbolic Partial Differential Equations $h [electronic resource] : $b Numerical Techniques for Fluid Dynamics Problems in the Presence of Uncertainties / $c by Mass Per Pettersson, Gianluca Iaccarino, Jan Nordstrom.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xi, 214 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Mathematical engineering, $x 2192-4732
505 0 $a Random Field Representation -- Polynomial Chaos Methods -- Numerical Solution of Hyperbolic Problems -- Linear Transport -- Nonlinear Transport -- Boundary Conditions and Data -- Euler Equations -- A Hybrid Scheme for Two-Phase Flow -- Appendices.
520 $a This monograph presents computational techniques and numerical analysis to study conservation laws under uncertainty using the stochastic Galerkin formulation. With the continual growth of computer power, these methods are becoming increasingly popular as an alternative to more classical sampling-based techniques. The approach described in the text takes advantage of stochastic Galerkin projections applied to the original conservation laws to produce a large system of modified partial differential equations, the solutions to which directly provide a full statistical characterization of the effect of uncertainties. Polynomial Chaos Methods of Hyperbolic Partial Differential Equations focuses on the analysis of stochastic Galerkin systems obtained for linear and non-linear convection-diffusion equations and for a systems of conservation laws; a detailed well-posedness and accuracy analysis is presented to enable the design of robust and stable numerical methods. The exposition is restricted to one spatial dimension and one uncertain parameter as its extension is conceptually straightforward. The numerical methods designed guarantee that the solutions to the uncertainty quantification systems will converge as the mesh size goes to zero. Examples from computational fluid dynamics are presented together with numerical methods suitable for the problem at hand: stable high-order finite-difference methods based on summation-by-parts operators for smooth problems, and robust shock-capturing methods for highly nonlinear problems. Academics and graduate students interested in computational fluid dynamics and uncertainty quantification will find this book of interest. Readers are expected to be familiar with the fundamentals of numerical analysis. Some background in stochastic methods is useful but not necessary.
650 0 $a Differential equations, Hyperbolic $x Numerical solutions. $3 709004
650 0 $a Galerkin methods. $3 704916
650 1 4 $a Engineering. $3 586835
650 2 4 $a Engineering Fluid Dynamics. $3 891349
650 2 4 $a Numerical Analysis. $3 892626
650 2 4 $a Fluid- and Aerodynamics. $3 1066670
700 1 $a Iaccarino, Gianluca. $3 2139341
700 1 $a Nordstrom, Jan. $3 2139342
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Mathematical engineering. $3 2055144
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-10714-1
950 $a Engineering (Springer-11647)