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Decomposition techniques in mathematical programming : engineering and science applications

Author: Antonio J Conejo
Publisher: Berlin ; New York : Springer, ©2006.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
This textbook for students and practitioners presents a practical approach to decomposition techniques in optimization. It provides an appropriate blend of theoretical background and practical applications in engineering and science, which makes the book interesting for practitioners, as well as engineering, operations research and applied economics graduate and postgraduate students. "Decomposition Techniques in  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Decomposition techniques in mathematical programming.
Berlin ; New York : Springer, ©2006
(DLC) 2005934995
(OCoLC)62226364
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Antonio J Conejo
ISBN: 9783540276869 3540276866 3540276858 9783540276852 1280625627 9781280625626
OCLC Number: 262692087
Description: 1 online resource (xvi, 541 pages) : illustrations
Contents: Part I Motivation and Introduction --
Motivating Examples --
Part II Decomposition Techniques --
Linear Programming. Complicating Constraints --
Linear Programming. Complicating Variables --
Duality --
Decomposition in Nonlinear Programming --
Decomposition in Mixed-Integer Programming --
Other Decomposition Techniques --
Part III Local Sensitivity Analysis --
Part IV Applications --
Part V Computer Codes --
Some GAMS Implementations --
Part VI Solution of Selected Exercises --
Exercise solutions.
Responsibility: Antonio J. Conejo [and others].
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Abstract:

Presents a practical approach to decomposition techniques in optimization. This book addresses decomposition in linear programming, mixed-integer linear programming, nonlinear programming, and  Read more...

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From the reviews: "A review of a large variety of optimization models where decomposition is used, and to present the available methods in a clear, illustrative, and application-oriented way. ... The Read more...

 
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