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Download Applied Integer Programming: Modeling and Solution fb2, epub

by Robert G. Batson,Yu Dang,Der-San Chen

Download Applied Integer Programming: Modeling and Solution fb2, epub

ISBN: 0470373067
Author: Robert G. Batson,Yu Dang,Der-San Chen
Language: English
Publisher: Wiley; 1 edition (January 12, 2010)
Pages: 488
Category: Mathematics
Subcategory: Science
Rating: 4.1
Votes: 877
Size Fb2: 1169 kb
Size ePub: 1985 kb
Size Djvu: 1941 kb
Other formats: mbr mobi txt lrf


He has overthirty years of academic and consulting experience on theapplications of linear programming, integer programming,optimization, and decision support systems.

He has overthirty years of academic and consulting experience on theapplications of linear programming, integer programming,optimization, and decision support systems.

He has over thirty years of academic and consulting experience on the applications of linear programming, integer programming, optimization, and decision support systems.

Applied Integer Programming features a unique emphasis on this point, focusing on problem modelingĀ .

Applied Integer Programming features a unique emphasis on this point, focusing on problem modeling and solution using commercial software. Taking an approach, this book addresses the art and science of mathematical modeling related to the mixed integer programming (MIP) framework and discusses the algorithms and associated practices that enable those models to be solved most efficiently.

Applied Integer Programming : Modeling and Solution. by Yu Dang, Der-San Chen, Robert G. Batson. Applied Integer Programming features a unique emphasis on this point, focusing on problem modeling and solution using commercial software.

Bibliographic Details. Title: Applied Integer Programming: Modeling and. Publication Date: 2008. Standard shipping can on occasion take up to 30 days for delivery. List this Seller's Books.

Finding books BookSee BookSee - Download books for free. Applied Integer Programming: Modeling and Solution. Der-San Chen, Robert G. Batson, Yu Dang.

To model the influence of these discrete curtailment levels on the resulting curtailment measures the objective function presented in (15) can be reformulated as an Integer Programming problem

University of Alabama. Network FundamentalsA Class of Easy Network ProblemsTotally Unimodular MatricesThe Network Simplex Method Solution via LINGONotesExercises. To model the influence of these discrete curtailment levels on the resulting curtailment measures the objective function presented in (15) can be reformulated as an Integer Programming problem. The set of possible operation points of a flexible unit i regarding its' real power infeed is thus dependent on its nominal power P N,i as well as on the set of possible curtailment levels Ī© c and can be formulated as follows

Applied Integer Programming focusses on the problem modeling and solution as well as taking approach. Also, it provides a complete understanding of science and art of mathematical modeling with MIP (Mixed Integer Programming) framework

Applied Integer Programming focusses on the problem modeling and solution as well as taking approach. Also, it provides a complete understanding of science and art of mathematical modeling with MIP (Mixed Integer Programming) framework. It also covers the related information and the solution to these models efficiently. This book also covers the successful applications, typical model types, systematic modeling procedures, the transformation of non-MIP models, automatic preprocessing for the better formulation, combinational optimization problem modeling.

Applied Integer Programming: Modeling and Solution. DerSan Chen, Robert G. This article is intended to survey and synthesise best practices in supplier development in the US automotive industry

Applied Integer Programming: Modeling and Solution. Standard Versus Nonstandard Forms. Combinatorial Optimization Problems. Successful Integer Programming Applications. This article is intended to survey and synthesise best practices in supplier development in the US automotive industry. The supplier development literature up through the early 1990s consisted mostl. More).

An accessible treatment of the modeling and solution of integerprogramming problems, featuring modern applications andsoftware

In order to fully comprehend the algorithms associated withinteger programming, it is important to understand not onlyhow algorithms work, but also why they work.Applied Integer Programming features a unique emphasis onthis point, focusing on problem modeling and solution usingcommercial software. Taking an application-oriented approach, thisbook addresses the art and science of mathematical modeling relatedto the mixed integer programming (MIP) framework and discusses thealgorithms and associated practices that enable those models to besolved most efficiently.

The book begins with coverage of successful applications,systematic modeling procedures, typical model types, transformationof non-MIP models, combinatorial optimization problem models, andautomatic preprocessing to obtain a better formulation. Subsequentchapters present algebraic and geometric basic concepts of linearprogramming theory and network flows needed for understandinginteger programming. Finally, the book concludes with classical andmodern solution approaches as well as the key components forbuilding an integrated software system capable of solvinglarge-scale integer programming and combinatorial optimizationproblems.

Throughout the book, the authors demonstrate essential conceptsthrough numerous examples and figures. Each new concept oralgorithm is accompanied by a numerical example, and, whereapplicable, graphics are used to draw together diverse problems orapproaches into a unified whole. In addition, features of solutionapproaches found in today's commercial software are identifiedthroughout the book.

Thoroughly classroom-tested, Applied Integer Programmingis an excellent book for integer programming courses at theupper-undergraduate and graduate levels. It also serves as awell-organized reference for professionals, software developers,and analysts who work in the fields of applied mathematics,computer science, operations research, management science, andengineering and use integer-programming techniques to model andsolve real-world optimization problems.

Comments:

KiddenDan
A timely, comprehensive, easy-to-read, and self-contained application textbook for integer programming - the first readable text this 30 year veteran has seen in a decade - a must-have for every practitioner. The book is formatted as a traditional textbook, with problems at the end of each chapter, and solutions in the back of the book for many of the more difficult problems. This text is a natural extension of the well-known introductory texts: e.g. Winston. An extensive reference list bridges the practical solutions to the underlying theory. The references are linked from the historical notes at the end of each chapter. The text covers integer programming in 3 major sections: modeling, linear programming theory, and classical and modern solutions.

The modeling section covers all the classical problems: knapsack, production planning, and scheduling - followed by the network models: assignment, transshipment, maxflow, and shortest path.

Since linear programming based branch and bound solutions are state-of-the-art, the second section reviews linear programming fundamentals as both a traditional linear algebra formulation and, in preparation for branch and bound cuts, a geometrical formulation where the columns are the basis vectors spanning the feasible solution space. Figures are extensively used to crystallize the geometric concepts.

In the final, integer programming methods are covered in general: branch and bound, cutting plane, and group theoretic - focusing on using the methods in combinations, especially, branch and bound with cutting plane. Detailed, but tractable, examples with figures are included every step of the way emphasizing how and why the algorithms work. Rarely introduced in a text are 3 modeling languages that can actually be used in commercial applications.

An excellent application text - enjoy.
Friert
I have ready many books in mathematics in my day, but I have never seen one with as many errors as this book. Apart from being littered with spelling and grammar errors, there are a number of concerning mathematical mistakes as well.

The authors spend an inordinate amount of paragraphs explaining relatively simple concepts like introduction of slack variables, but avoid elaborating on more complex topics such as decomposition and transformations.

That said, the book is a good general introduction to the field as long as you read it carefully and notice their mistakes.
Wishamac
This is a good book if you combine it with other resources. The book does cover a lot of topics with up-to-date information. However 450 pages is not enough for in-depth discussion of many topics such as the geometric concepts of simplex or heuristics. I totally agree with another reviewer about mistakes in book and they are very, very annoying. Too bad there is no errata available on publisher's website.

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