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Handbook on Modelling for Discrete Optimization [Hardcover]

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  • Category: Books (Business & Economics)
  • ISBN-10:  0387329412
  • ISBN-10:  0387329412
  • ISBN-13:  9780387329413
  • ISBN-13:  9780387329413
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  456
  • Pages:  456
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Feb-2006
  • Pub Date:  01-Feb-2006
  • SKU:  0387329412-11-SPRI
  • SKU:  0387329412-11-SPRI
  • Item ID: 100794806
  • List Price: $169.99
  • Seller: ShopSpell
  • Ships in: 5 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jul 04 to Jul 06
  • Notes: Brand New Book. Order Now.

This book aims to demonstrate and detail the pervasive nature of Discrete Optimization. The handbook couples the difficult, critical-thinking aspects of mathematical modeling with the hot area of discrete optimization. It is done with an academic treatment outlining the state-of-the-art for researchers across the domains of the Computer Science, Math Programming, Applied Mathematics, Engineering, and Operations Research. The book utilizes the tools of mathematical modeling, optimization, and integer programming to solve a broad range of modern problems.

This book demonstrates and details the pervasive nature of Discrete Optimization. While the subjects applications cut across an incredibly wide range of activities, many of the applications are only known to specialists. This handbook aims to correct this.

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 Cl£¾
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