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Titlebook: Optimization and Computational Fluid Dynamics; Dominique Thévenin,Gábor Janiga Book 2008 Springer-Verlag Berlin Heidelberg 2008 Evolutiona

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发表于 2025-3-21 19:24:35 | 显示全部楼层 |阅读模式
书目名称Optimization and Computational Fluid Dynamics
编辑Dominique Thévenin,Gábor Janiga
视频video
概述Includes supplementary material:
图书封面Titlebook: Optimization and Computational Fluid Dynamics;  Dominique Thévenin,Gábor Janiga Book 2008 Springer-Verlag Berlin Heidelberg 2008 Evolutiona
描述.The numerical optimization of practical applications is an issue of growing importance in research and industry. It allows both the exploration of non-trivial configurations differing widely from all known solutions and the step-by-step improvement of existing designs. ..The purpose of this book is to introduce the state of the art concerning this issue, referred to in the book as CFD-based Optimization (CFD-O). Many complementary applications are presented, so that interested researchers and engineers will get a clear view of the present possibilities for all problems where the numerical optimization process relies on evaluations obtained through Computational Fluid Dynamics..
出版日期Book 2008
关键词Evolutionary algorithms; Gradient-based methods; Mathematica; algorithm; algorithms; computational fluid
版次1
doihttps://doi.org/10.1007/978-3-540-72153-6
isbn_softcover978-3-642-09132-2
isbn_ebook978-3-540-72153-6
copyrightSpringer-Verlag Berlin Heidelberg 2008
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Introductionheir publications when they simply mean in practice that starting from a non-satisfactory configuration, they have tried two or three other ones and chosen at the end the best case. This is undoubtedly related to optimization, but in a very minimalistic sense! In the present book optimization means
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Book 2008re presented, so that interested researchers and engineers will get a clear view of the present possibilities for all problems where the numerical optimization process relies on evaluations obtained through Computational Fluid Dynamics..
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Introductionan “improvement”! It is indeed a pity that so many researchers and engineers still employ the terminology “optimization” in the title or abstract of their publications when they simply mean in practice that starting from a non-satisfactory configuration, they have tried two or three other ones and c
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Adjoint Methods for Shape Optimizationsitivities with respect to the design variables. In the literature adjoint approaches are proved to outperform other relevant methods, such as the direct sensitivity analysis, finite differences or the complex variable approach. They appear in two different formulations, namely the continuous and th
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Efficient Deterministic Approaches for Aerodynamic Shape Optimization the deterministic optimization methods, the adjoint approach is seen as a promising alternative to the classical finite difference approach. With the adjoint approach, the sensitivities needed for the aerodynamic shape optimization can be efficiently obtained using the adjoint flow equations. Here,
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