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Titlebook: Handbook on Modelling for Discrete Optimization; Gautam Appa,Leonidas Pitsoulis,H. Paul Williams Book 2006 Springer-Verlag US 2006 Hardwar

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书目名称Handbook on Modelling for Discrete Optimization
编辑Gautam Appa,Leonidas Pitsoulis,H. Paul Williams
视频video
概述Couples the difficult, critical-thinking aspects of mathematical modeling with the hot area of discrete optimization. It will be done in an academic handbook treatment outlining the state-of-the-art f
丛书名称International Series in Operations Research & Management Science
图书封面Titlebook: Handbook on Modelling for Discrete Optimization;  Gautam Appa,Leonidas Pitsoulis,H. Paul Williams Book 2006 Springer-Verlag US 2006 Hardwar
描述The primary reason for producing this book is to demonstrate and commu­ nicate the pervasive nature of Discrete Optimisation. It has applications across a very wide range of activities. Many of the applications are only known to specialists. Our aim is to rectify this. It has long been recognized that ‘‘modelling" is as important, if not more important, a mathematical activity as designing algorithms for solving these discrete optimisation problems. Nevertheless solving the resultant models is also often far from straightforward. Although in recent years it has become viable to solve many large scale discrete optimisation problems some problems remain a challenge, even as advances in mathematical methods, hardware and software technology are constantly pushing the frontiers forward. The subject brings together diverse areas of academic activity as well as di­ verse areas of applications. To date the driving force has been Operational Re­ search and Integer Programming as the major extention of the well-developed subject of Linear Programming. However, the subject also brings results in Computer Science, Graph Theory, Logic and Combinatorics, all of which are reflected in this book.
出版日期Book 2006
关键词Hardware; algorithm; algorithms; combinatorics; computer; computer science; linear optimization; model; mode
版次1
doihttps://doi.org/10.1007/0-387-32942-0
isbn_softcover978-1-4419-4107-7
isbn_ebook978-0-387-32942-0Series ISSN 0884-8289 Series E-ISSN 2214-7934
issn_series 0884-8289
copyrightSpringer-Verlag US 2006
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A Mixed-Integer Nonlinear Programming Approach to the Optimal Planning of Offshore Oilfield Infrastrntegrated. Furthermore, a novel dynamic programming sub-problem is proposed to improve the aggregation scheme at each iteration in order to obtain an aggregate problem that resembles the disaggregate problem more closely. A number of examples are presented to illustrate the performance of the proposed method.
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Logic-Based Modeling1 linear inequalities (viewed as logical formulas), cardinality rules, and mixed logical/linear constraints. It does the same for three global constraints that are popular in constraint programming systems: the all-different, element and cumulative constraints.
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