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Titlebook: Encyclopedia of Optimization; Christodoulos A. Floudas,Panos M. Pardalos Reference work 20011st edition Springer-Verlag US 2001 algorithms

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書目名稱Encyclopedia of Optimization
編輯Christodoulos A. Floudas,Panos M. Pardalos
視頻videohttp://file.papertrans.cn/310/309483/309483.mp4
圖書封面Titlebook: Encyclopedia of Optimization;  Christodoulos A. Floudas,Panos M. Pardalos Reference work 20011st edition Springer-Verlag US 2001 algorithms
描述.Optimization problems are widespread in the mathematical modeling of real world systems and their applications arise in all branches of science, applied science and engineering. The goal of the .Encyclopedia. .of Optimization. is to introduce the reader to a complete set of topics in order to show the spectrum of recent research activities and the richness of ideas in the development of theories, algorithms and the applications of optimization. It is directed to a diverse audience of students, scientists, engineers, decision makers and problem solvers in academia, business, industry, and government..
出版日期Reference work 20011st edition
關鍵詞algorithms; Mathematica; mathematical modeling; modeling; optimization
版次1
doihttps://doi.org/10.1007/0-306-48332-7
isbn_ebook978-0-306-48332-5
copyrightSpringer-Verlag US 2001
The information of publication is updating

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Springer-Verlag US 2001
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https://doi.org/10.1007/0-306-48332-7algorithms; Mathematica; mathematical modeling; modeling; optimization
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ence, applied science and engineering. The goal of the .Encyclopedia. .of Optimization. is to introduce the reader to a complete set of topics in order to show the spectrum of recent research activities and the richness of ideas in the development of theories, algorithms and the applications of opti
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Reference work 20011st editionthe spectrum of recent research activities and the richness of ideas in the development of theories, algorithms and the applications of optimization. It is directed to a diverse audience of students, scientists, engineers, decision makers and problem solvers in academia, business, industry, and government..
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Approximation of Extremum Problems with Probability Functionals
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