Polynomial chaos methods for hyperbolic partial differential equations [electronic resource] : numerical techniques for fluid dynamics problems in the presence of uncertainties / Mass Per Pettersson, Gianluca Iaccarino, Jan Nordström.
2015
QA377
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Title
Polynomial chaos methods for hyperbolic partial differential equations [electronic resource] : numerical techniques for fluid dynamics problems in the presence of uncertainties / Mass Per Pettersson, Gianluca Iaccarino, Jan Nordström.
ISBN
9783319107141 electronic book
3319107143 electronic book
9783319107134
3319107143 electronic book
9783319107134
Published
Cham : Springer, 2015.
Language
English
Description
1 online resource (xi, 214 pages) : illustrations.
Item Number
10.1007/978-3-319-10714-1 doi
Call Number
QA377
Dewey Decimal Classification
518/.64
Summary
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.
Bibliography, etc. Note
Includes bibliographical references and index.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 20, 2015).
Series
Mathematical engineering.
Available in Other Form
Print version: 9783319107134
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Table of Contents
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.
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.