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A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems
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简体网页||繁体网页
Hanif D. Sherali 作者
Springer
译者
1998-12-31 出版日期
516 页数
USD 339.00 价格
Hardcover
丛书系列
9780792354871 图书编码

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A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


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A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems 在线电子书 著者简介

A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems 在线电子书 图书目录

A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems 在线电子书 图书描述

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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