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Books > Science & Mathematics > Physics > Classical mechanics > Fluid mechanics
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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: R3,999
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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.)
Series: Mathematical Engineering
Expected to ship within 10 - 15 working days
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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.
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