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Decomposition Techniques in Mathematical Programming Engineering and Science Applications

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 eng...

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Bibliographic Details
Main Authors: Conejo, Antonio J., Castillo, Enrique (Author), Minguez, Roberto (Author), Garcia-Bertrand, Raquel (Author)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2006, 2006
Edition:1st ed. 2006
Subjects:
Operations Research, Management Science
Operations Research
Engineering Mathematics
Management Science
Engineering / Data Processing
Applications Of Mathematics
Mathematics
Operations Research And Decision Theory
Mathematical And Computational Engineering Applications
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Motivation and Introduction
  • Motivating Examples: Models with Decomposable Structure
  • Decomposition Techniques
  • Decomposition in Linear Programming: Complicating Constraints
  • Decomposition in Linear Programming: Complicating Variables
  • Duality
  • Decomposition in Nonlinear Programming
  • Decomposition in Mixed-Integer Programming
  • Other Decomposition Techniques
  • Local Sensitivity Analysis
  • Local Sensitivity Analysis
  • Applications
  • Applications
  • Computer Codes
  • Some GAMS Implementations
  • Solution to Selected Exercises
  • Exercise Solutions

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