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

HABIT

書目名稱Optimization and Computational Fluid Dynamics影響因子(影響力)




書目名稱Optimization and Computational Fluid Dynamics影響因子(影響力)學(xué)科排名




書目名稱Optimization and Computational Fluid Dynamics網(wǎng)絡(luò)公開度




書目名稱Optimization and Computational Fluid Dynamics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Optimization and Computational Fluid Dynamics被引頻次




書目名稱Optimization and Computational Fluid Dynamics被引頻次學(xué)科排名




書目名稱Optimization and Computational Fluid Dynamics年度引用




書目名稱Optimization and Computational Fluid Dynamics年度引用學(xué)科排名




書目名稱Optimization and Computational Fluid Dynamics讀者反饋




書目名稱Optimization and Computational Fluid Dynamics讀者反饋學(xué)科排名

capillaries

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

Hallmark

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..

豐富

改變

Inferior

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

N斯巴達(dá)人

沒(méi)有貧窮

咽下

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

Chivalrous

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,