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Titlebook: Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology; Neculai Andrei Book 2017 Springer International Publish

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發(fā)表于 2025-3-21 17:23:23 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology
編輯Neculai Andrei
視頻videohttp://file.papertrans.cn/238/237012/237012.mp4
概述Enriches understanding of theory behind optimization algorithms.Maximizes reader insight into efficient use of continuous nonlinear optimization in GAMS technology.Supplies a computational performance
叢書名稱Springer Optimization and Its Applications
圖書封面Titlebook: Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology;  Neculai Andrei Book 2017 Springer International Publish
描述.This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization applications imbedded in GAMS. Aimed toward scientists and graduate students who utilize optimization methods to model and solve problems in mathematical programming, operations research, business, engineering, and industry, this book enables readers with a background in nonlinear optimization and linear algebra to use GAMS technology to understand and utilize its important capabilities to optimize algorithms for modeling and solving complex, large-scale, continuous nonlinear optimization problems or applications...Beginning with an overview of constrained nonlinear optimization methods, this book moves on to illustrate key aspects of mathematical modeling through modeling technologies based on algebraically oriented modeling languages. Next, the main feature of GAMS, an algebraically oriented language that allows for high-level algebraicrepresentation of mathematical optimization models, is introduced to model and solve continuous nonlinear optimization applications. More than 15 real nonlinear optimization applications in algebraic and GAMS r
出版日期Book 2017
關(guān)鍵詞Lagrangian methods; GAMS technology; continuous nonlinear optimization; nonlinear optimization modeling
版次1
doihttps://doi.org/10.1007/978-3-319-58356-3
isbn_softcover978-3-319-86386-3
isbn_ebook978-3-319-58356-3Series ISSN 1931-6828 Series E-ISSN 1931-6836
issn_series 1931-6828
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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,über chinesische Au?enpolitik,aking systems based on the optimization paradigm. In a wider context, the algebraic oriented modeling tools evolve toward fully integrated modeling and optimization management systems with access to databases, spreadsheets, and graphical user interfaces.
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Book 2017ns imbedded in GAMS. Aimed toward scientists and graduate students who utilize optimization methods to model and solve problems in mathematical programming, operations research, business, engineering, and industry, this book enables readers with a background in nonlinear optimization and linear alge
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,Die Qualit?t des Gew?hnlichen,m with this method is that the nonsmoothness may create complications in numerical implementations. Finally, the second concept is the . or the ., which explicitly uses Lagrange multiplier estimates in order to avoid the ill-conditioning of the quadratic penalty method.
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Penalty and Augmented Lagrangian Methods,m with this method is that the nonsmoothness may create complications in numerical implementations. Finally, the second concept is the . or the ., which explicitly uses Lagrange multiplier estimates in order to avoid the ill-conditioning of the quadratic penalty method.
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