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Titlebook: Optimization Methods; From Theory to Desi Marco Cavazzuti Book 2013 Springer-Verlag Berlin Heidelberg 2013 Convection Optimization.Design

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發(fā)表于 2025-3-21 16:31:31 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Optimization Methods
副標(biāo)題From Theory to Desi
編輯Marco Cavazzuti
視頻videohttp://file.papertrans.cn/704/703143/703143.mp4
概述Guides the reader towards applications in the optimization.Practical and effective approach involving techniques from different sub-fields of optimization.Selected applications guide the reader throug
圖書封面Titlebook: Optimization Methods; From Theory to  Desi Marco Cavazzuti Book 2013 Springer-Verlag Berlin Heidelberg 2013 Convection Optimization.Design
描述This book is about optimization techniques and is subdivided into two parts. In the first part a wide overview on optimization theory is presented. Optimization is presented as being composed of five topics, namely: design of experiment, response surface modeling, deterministic optimization, stochastic optimization, and robust engineering design. Each chapter, after presenting the main techniques for each part, draws application oriented conclusions including didactic examples. In the second part some applications are presented to guide the reader through the process of setting up a few optimization exercises, analyzing critically the choices which are made step by step, and showing how the different topics that constitute the optimization theory can be used jointly in an optimization process. The applications which are presented are mainly in the field of thermodynamics and fluid dynamics due to the author‘s background.
出版日期Book 2013
關(guān)鍵詞Convection Optimization; Design of Experiment DOE; Deterministic Optimization; Pareto Optimality; Respon
版次1
doihttps://doi.org/10.1007/978-3-642-31187-1
isbn_softcover978-3-642-44162-2
isbn_ebook978-3-642-31187-1
copyrightSpringer-Verlag Berlin Heidelberg 2013
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Introduction,for the problem at hand, but they are not able to grant us these solutions are also reliable, or robust. The role of reliability is not to be underestimated, and this is what we try to address in the fifth step.
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