Adaptive High-Order Methods in Computational Fluid Dynamics

Wang, Z. J. (EDT)

ISBN 10: 9814313181 / ISBN 13: 9789814313186

Published by World Scientific Pub Co Inc, 2011

About this Item

Seller Inventory # 9622553-n

Bibliographic Details

Title: Adaptive High-Order Methods in Computational...

Publisher: World Scientific Pub Co Inc

Publication Date: 2011

Binding: Hardcover

Condition: New

About this title

Synopsis:

This book consists of important contributions by world-renowned experts on adaptive high-order methods in computational fluid dynamics (CFD). It covers several widely used, and still intensively researched methods, including the discontinuous Galerkin, residual distribution, finite volume, differential quadrature, spectral volume, spectral difference, PNPM, and correction procedure via reconstruction methods. The main focus is applications in aerospace engineering, but the book should also be useful in many other engineering disciplines including mechanical, chemical and electrical engineering. Since many of these methods are still evolving, the book will be an excellent reference for researchers and graduate students to gain an understanding of the state of the art and remaining challenges in high-order CFD methods.

From the Back Cover:

This book consists of important contributions by world-renowned experts on adaptive high-order methods in computational fluid dynamics (CFD). It covers several widely used, and still intensively researched methods, including the discontinuous Galerkin, differential quadrature, residual distribution, spectral volume, spectral difference, flux reconstruction, and lifting collocation penalty methods. The main focus is applications in aerospace engineering, but the book should also be useful in many other engineering disciplines including mechanical, chemical and electrical engineering. Since many of these methods are still evolving, the book will be an excellent reference for researchers and graduate students to gain an undergraduate of the state-of-the-art and remaining challenges in high-order CFD methods.