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Titlebook: Introduction to Optimization; Pablo Pedregal Textbook 2004 Springer Science+Business Media New York 2004 LED.Optimization algorithm.Optimi

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书目名称Introduction to Optimization
编辑Pablo Pedregal
视频videohttp://file.papertrans.cn/475/474002/474002.mp4
丛书名称Texts in Applied Mathematics
图书封面Titlebook: Introduction to Optimization;  Pablo Pedregal Textbook 2004 Springer Science+Business Media New York 2004 LED.Optimization algorithm.Optimi
描述. ..This undergraduate textbook introduces students of science and engineering to the fascinating field of optimization. It is a unique book that brings together the subfields of mathematical programming, variational calculus, and optimization in a single reference. As a primer on optimization, its main goal is to provide a succinct and accessible introduction to linear programming, nonlinear programming, numerical optimization algorithms, variational problems, dynamic programming, and optimal control. Prerequisites have been kept to a minimum, although a basic knowledge of calculus, linear algebra, and differential equations is assumed...There are numerous examples, illustrations, and exercises throughout the text, making it an ideal book for self-study. Applied mathematicians, physicists, engineers, and scientists will find this introduction to optimization extremely useful..
出版日期Textbook 2004
关键词LED; Optimization algorithm; Optimization algorithms; algorithms; linear algebra; linear optimization; non
版次1
doihttps://doi.org/10.1007/b97412
isbn_softcover978-1-4419-2334-9
isbn_ebook978-0-387-21680-5Series ISSN 0939-2475 Series E-ISSN 2196-9949
issn_series 0939-2475
copyrightSpringer Science+Business Media New York 2004
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https://doi.org/10.1007/b97412LED; Optimization algorithm; Optimization algorithms; algorithms; linear algebra; linear optimization; non
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Texts in Applied Mathematicshttp://image.papertrans.cn/i/image/474002.jpg
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Textbook 2004gebra, and differential equations is assumed...There are numerous examples, illustrations, and exercises throughout the text, making it an ideal book for self-study. Applied mathematicians, physicists, engineers, and scientists will find this introduction to optimization extremely useful..
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Introduction,not comparable, in the least, to the situations we will study. More complex versions of these problems can be found in advanced textbooks. We think, however, that the main ideas will be conveyed through them and will endow readers with the basic tools for more realistic situations.
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