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A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems
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Hanif D. Sherali 作者
Springer
譯者
1998-12-31 出版日期
516 頁數
USD 339.00 價格
Hardcover
叢書系列
9780792354871 圖書編碼

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A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems 在線電子書 用戶評價

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A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems 在線電子書 著者簡介

A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems 在線電子書 著者簡介

A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems 在線電子書 圖書描述

This book addresses a new method for generating tight linear or convex programming relaxations for discrete and continuous nonconvex programming problems. Problems of this type arise in many economics, location-allocation, scheduling and routing, and process control and engineering design applications. The principal thrust is to commence with a model that affords a useful representation and structure, and then to further strengthen this representation through an automatic reformulation and constraint generation technique. The contents of this book comprise the original work of the authors compiled from several journal publications, and not covered in any other book on this subject. The outstanding feature of this book is that it offers for the first time a unified treatment of discrete and continuous nonconvex programming problems. In essence, the bridge between these two types of nonconvexities is made via a polynomial representation of discrete constraints. The book lays the foundation of an idea that is stimulating and that has served to enhance the solubility of many challenging problems in the field. Audience: This book is intended for researchers and practitioners who work in the area of discrete or continuous nonlinear, nonconvex optimization problems, as well as for students who are interested in learning about techniques for solving such problems.

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