Weighted Energy Methods in Fluid Dynamics and Elasticity, Giovanni P. Galdi; Salvatore Rionero

Автор: M. Reza Eslami; Richard B. Hetnarski; J?zef Ignacz
Название: Theory of Elasticity and Thermal Stresses
ISBN: 9400799314 ISBN-13(EAN): 9789400799318
Издательство: Springer
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Цена: 95770.00 T
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Описание: Synthesizing the contents of three classic textbooks by the authors, this book offers a comprehensive approach to theory and practice, problems, solutions and exercises which thoroughly explore the mathematical principles of Elasticity and Thermal Stress.

Автор: Tullio Valent
Название: Boundary Value Problems of Finite Elasticity
ISBN: 1461283264 ISBN-13(EAN): 9781461283263
Издательство: Springer
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Цена: 95770.00 T
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Описание: In this book I present, in a systematic form, some local theorems on existence, uniqueness, and analytic dependence on the load, which I have recently obtained for some types of boundary value problems of finite elasticity.

Автор: Joe Iannelli
Название: Characteristics Finite Element Methods in Computational Fluid Dynamics
ISBN: 3642064302 ISBN-13(EAN): 9783642064302
Издательство: Springer
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Цена: 269260.00 T
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Описание: This book details a systematic characteristics-based finite element procedure to investigate incompressible, free-surface and compressible flows.

Автор: Maurice Holt
Название: Numerical Methods in Fluid Dynamics
ISBN: 3540127992 ISBN-13(EAN): 9783540127994
Издательство: Springer
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Цена: 95770.00 T
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Описание: From the reviews of the first edition: "This book is directed to graduate students and research workers interested in the numerical solution of problems of fluid dynamics, primarily those arising in high speed flow.

Автор: Timothy J. Barth; Herman Deconinck
Название: Error Estimation and Adaptive Discretization Methods in Computational Fluid Dynamics
ISBN: 3642078419 ISBN-13(EAN): 9783642078415
Издательство: Springer
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Цена: 153720.00 T
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Описание: As computational fluid dynamics (CFD) is applied to ever more demanding fluid flow problems, the ability to compute numerical fluid flow solutions to a user specified tolerance as well as the ability to quantify the accuracy of an existing numerical solution are seen as essential ingredients in robust numerical simulation.