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Titlebook: Linear and Nonlinear Programming; David G. Luenberger,Yinyu Ye Textbook 20164th edition Springer International Publishing Switzerland 2016

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發(fā)表于 2025-3-21 18:45:27 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Linear and Nonlinear Programming
編輯David G. Luenberger,Yinyu Ye
視頻videohttp://file.papertrans.cn/587/586473/586473.mp4
概述Complete updating of bestselling text in the field.Entirely new chapter on Semidefinite Programming.Includes end-of-chapter exercises
叢書(shū)名稱(chēng)International Series in Operations Research & Management Science
圖書(shū)封面Titlebook: Linear and Nonlinear Programming;  David G. Luenberger,Yinyu Ye Textbook 20164th edition Springer International Publishing Switzerland 2016
描述.This new edition covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular. One major insight is the connection between the purely analytical character of an optimization problem and the behavior of algorithms used to solve a problem. This was a major theme of the first edition of this book and the fourth edition expands and further illustrates this relationship. As in the earlier editions, the material in this fourth edition is organized into three separate parts. Part I is a self-contained introduction to linear programming. The presentation in this part is fairly conventional, covering the main elements of the underlying theory of linear programming, many of the most effective numerical algorithms, and many of its important special applications. Part II, which is independent of Part I, covers the theory of unconstrained optimization, including both derivations of the appropriate optimality conditions and an introduction to basic algorithms. This part of the book explores the general properties of algorithms and defines various notions of convergence. Part III extends the concepts developed in the sec
出版日期Textbook 20164th edition
關(guān)鍵詞Linear Programming; Luenberger; Mathematical Programming; Nonlinear Programming; Operations Research; Opt
版次4
doihttps://doi.org/10.1007/978-3-319-18842-3
isbn_softcover978-3-319-37439-0
isbn_ebook978-3-319-18842-3Series ISSN 0884-8289 Series E-ISSN 2214-7934
issn_series 0884-8289
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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發(fā)表于 2025-3-21 22:28:51 | 只看該作者
Interior-Point Methodsolyhedron defined by the constraints. Indeed, this view is natural when considering network problems such as those of early chapters. However, the number of vertices may be large, up to . !, making direct search impossible for even modest size problems.
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Textbook 20164th editionular. One major insight is the connection between the purely analytical character of an optimization problem and the behavior of algorithms used to solve a problem. This was a major theme of the first edition of this book and the fourth edition expands and further illustrates this relationship. As i
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Duality and Complementarity associated with the constraints of the original (primal) problem, and through this association it is possible to give an economically meaningful characterization to the dual whenever there is such a characterization for the primal.
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Basic Descent Methodsapters as more efficient techniques and techniques capable of handling constraints are developed, reference is continually made to the basic techniques of this chapter both for guidance and as points of comparison.
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David G. Luenberger,Yinyu YeComplete updating of bestselling text in the field.Entirely new chapter on Semidefinite Programming.Includes end-of-chapter exercises
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International Series in Operations Research & Management Sciencehttp://image.papertrans.cn/l/image/586473.jpg
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