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Generalized Riemann Problems in Comp...
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Ben-Artzi, Matania.
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Generalized Riemann Problems in Computational Fluid Dynamics.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Generalized Riemann Problems in Computational Fluid Dynamics./
作者:
Ben-Artzi, Matania.
其他作者:
Ciarlet, P. G.
出版者:
Cambridge :Cambridge University Press, : 2003.,
面頁冊數:
367 p.
內容註:
Cover; Half-title; Series-title; Title; Copyright; Contents; List of Figures; Preface; 1 Introduction; 2 Scalar Conservation Laws; 3 The GRP Method for Scalar Conservation Laws; 4 Systems of Conservation Laws; 5 The Generalized Riemann Problem (GRP) for Compressible Fluid Dynamics; 6 Analytical and Numerical Treatment of Fluid Dynamical Problems; 7 From the GRP Algorithm to Scientific Computing; 8 Geometric Extensions; 9 A Physical Extension: Reacting Flow; 10 Wave Interaction in a Duct - A Comparative Study; Appendix A Entropy Conditions for Scalar Conservation Laws
內容註:
Appendix B Convergence of the Godunov SchemeAppendix C Riemann Solver for a Gamma-Law Gas; Appendix D The MUSCL Scheme; Bibliography; Glossary; Flow Variables and Thermodynamic Quantities (Section 4.2); Coordinates; Riemann and Generalized Riemann Problem; Functional Spaces; Index
標題:
Fluid dynamics. -
電子資源:
http://dx.doi.org/10.1017/CBO9780511546785#Click here to view book
ISBN:
9780511546785# (electronic bk.)
Generalized Riemann Problems in Computational Fluid Dynamics.
Ben-Artzi, Matania.
Generalized Riemann Problems in Computational Fluid Dynamics.
[electronic resource]. - Cambridge :Cambridge University Press,2003. - 367 p.
Cover; Half-title; Series-title; Title; Copyright; Contents; List of Figures; Preface; 1 Introduction; 2 Scalar Conservation Laws; 3 The GRP Method for Scalar Conservation Laws; 4 Systems of Conservation Laws; 5 The Generalized Riemann Problem (GRP) for Compressible Fluid Dynamics; 6 Analytical and Numerical Treatment of Fluid Dynamical Problems; 7 From the GRP Algorithm to Scientific Computing; 8 Geometric Extensions; 9 A Physical Extension: Reacting Flow; 10 Wave Interaction in a Duct - A Comparative Study; Appendix A Entropy Conditions for Scalar Conservation Laws
The Generalized Riemann Problem (GRP) algorithm comprises common schemes of numerical simulation of compressible, inviscid time-dependent flow. This monograph, including examples illustrating the algorithm's applications, presents the GRP methodology beginning with its underlying mathematical principles. The book is accessible to researchers and graduate students of applied mathematics, science and engineering.
Electronic reproduction.
Available via World Wide Web.
Mode of access: World Wide Web.
ISBN: 9780511546785# (electronic bk.)Subjects--Topical Terms:
545210
Fluid dynamics.
Index Terms--Genre/Form:
542853
Electronic books.
LC Class. No.: QA911 .B36 2003eb
Dewey Class. No.: 512.73
Generalized Riemann Problems in Computational Fluid Dynamics.
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Cover; Half-title; Series-title; Title; Copyright; Contents; List of Figures; Preface; 1 Introduction; 2 Scalar Conservation Laws; 3 The GRP Method for Scalar Conservation Laws; 4 Systems of Conservation Laws; 5 The Generalized Riemann Problem (GRP) for Compressible Fluid Dynamics; 6 Analytical and Numerical Treatment of Fluid Dynamical Problems; 7 From the GRP Algorithm to Scientific Computing; 8 Geometric Extensions; 9 A Physical Extension: Reacting Flow; 10 Wave Interaction in a Duct - A Comparative Study; Appendix A Entropy Conditions for Scalar Conservation Laws
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Appendix B Convergence of the Godunov SchemeAppendix C Riemann Solver for a Gamma-Law Gas; Appendix D The MUSCL Scheme; Bibliography; Glossary; Flow Variables and Thermodynamic Quantities (Section 4.2); Coordinates; Riemann and Generalized Riemann Problem; Functional Spaces; Index
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The Generalized Riemann Problem (GRP) algorithm comprises common schemes of numerical simulation of compressible, inviscid time-dependent flow. This monograph, including examples illustrating the algorithm's applications, presents the GRP methodology beginning with its underlying mathematical principles. The book is accessible to researchers and graduate students of applied mathematics, science and engineering.
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