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Polynomial Chaos Methods for Hyperbolic Partial Differential Equations - Numerical Techniques for Fluid Dynamics Problems in the Presence of Uncertainties (Hardcover, 2015 ed.) Loot Price: R4,249
Discovery Miles 42 490
Polynomial Chaos Methods for Hyperbolic Partial Differential Equations - Numerical Techniques for Fluid Dynamics Problems in...

Polynomial Chaos Methods for Hyperbolic Partial Differential Equations - Numerical Techniques for Fluid Dynamics Problems in the Presence of Uncertainties (Hardcover, 2015 ed.)

Mass Per Pettersson, Gianluca Iaccarino, Jan Nordstroem

Series: Mathematical Engineering

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Loot Price R4,249 Discovery Miles 42 490 | Repayment Terms: R398 pm x 12*

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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 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 notnecessary.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Mathematical Engineering
Release date: March 2015
First published: 2015
Authors: Mass Per Pettersson • Gianluca Iaccarino • Jan Nordstroem
Dimensions: 235 x 155 x 14mm (L x W x T)
Format: Hardcover
Pages: 214
Edition: 2015 ed.
ISBN-13: 978-3-319-10713-4
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Science & Mathematics > Physics > Classical mechanics > Fluid mechanics
Books > Professional & Technical > Mechanical engineering & materials > Materials science > Mechanics of fluids > General
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LSN: 3-319-10713-5
Barcode: 9783319107134

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