Spectral Methods for Uncertainty Quantification: With Applications to Computational Fluid Dynamics (Scientific Computation) - Image 1

Price loading...

Springer Spectral Methods for Uncertainty Quantification: With Applications to Computational Fluid Dynamics (Scientific Computation)

Name: Spectral Methods for Uncertainty Quantification: With Applications to Computational Fluid Dynamics (Scientific Computation)
Brand: Springer

Computer Science

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

This book deals with the application of spectral methods to problems of uncertainty propagation and quanti?cation in model-based computations. It speci?cally focuses on computational and algorithmic features of these methods which are most useful in dealing with models based on partial differential equations, with special att- tion to models arising in simulations of ?uid ?ows. Implementations are illustrated through applications to elementary problems, as well as more elaborate examples selected from the authors’ interests in incompressible vortex-dominated ?ows and compressible ?ows at low Mach numbers. Spectral stochastic methods are probabilistic in nature, and are consequently rooted in the rich mathematical foundation associated with probability and measure spaces. Despite the authors’ fascination with this foundation, the discussion only - ludes to those theoretical aspects needed to set the stage for subsequent applications. The book is authored by practitioners, and is primarily intended for researchers or graduate students in computational mathematics, physics, or ?uid dynamics. The book assumes familiarity with elementary methods for the numerical solution of time-dependent, partial differential equations; prior experience with spectral me- ods is naturally helpful though not essential. Full appreciation of elaborate examples in computational ?uid dynamics (CFD) would require familiarity with key, and in some cases delicate, features of the associated numerical methods. Besides these shortcomings, our aim is to treat algorithmic and computational aspects of spectral stochastic methods with details suf?cient to address and reconstruct all but those highly elaborate examples.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 9048135192
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Release Date: 08 April 2010
Listed Since: 05 August 2009

Barcode

No barcode data available

Springer Spectral Methods for Uncertainty Quantification: With Applications to Computational Fluid Dynamics (Scientific Computation)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Implementing Spectral Methods for Partial Differential Equations: Algorithms for Scientists and Engineers (Scientific Computation)

Polynomial Chaos Methods for Hyperbolic Partial Differential Equations: Numerical Techniques for Fluid Dynamics Problems in the Presence of Uncertainties (Mathematical Engineering)

Springer - Uncertainty Quantification and Predictive Science Book

Stochastic Methods for Flow in Porous Media: Coping with Uncertainties

Spectral Methods for Incompressible Viscous Flow: 148 (Applied Mathematical Sciences, 148)

Spectral Methods and Their Applications

Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines

Spectral Methods in Chemistry and Physics: Applications to Kinetic Theory and Quantum Mechanics (Scientific Computation)

Introduction to Computational Fluid Dynamics: Development, Application and Analysis

Springer Non-perturbative Methods in Statistical Turbulence 1

Computational Fluid Dynamics: Incompressible Turbulent Flows

CFD Techniques and Energy Applications

Computational Methods in Physics: Compendium for Students (Graduate Texts in Physics)

Uncertainty Quantification: An Accelerated Course with Advanced Applications in Computational Engineering: 47 (Interdisciplinary Applied Mathematics, 47)

Uncertainty Quantification: An Accelerated Course with Advanced Applications in Computational Engineering: 47 (Interdisciplinary Applied Mathematics, 47)

CFD Techniques and Thermo-Mechanics Applications

Handbook of Turbulence: Volume 1 Fundamentals and Applications

Uncertainty Quantification and Stochastic Modeling with Matlab

Recent Advances in Computational and Applied Mathematics

Numerical Methods for Unsteady Compressible Flow Problems (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)

Numerical Methods for Stochastic Partial Differential Equations with White Noise: 196 (Applied Mathematical Sciences, 196)

Computational Mechanics of Fluid-Structure Interaction: Computational Methods for Coupled Fluid-Structure Analysis

Stochastic Equations through the Eye of the Physicist: Basic Concepts, Exact Results and Asymptotic Approximations

Computational Fluid Dynamics (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)