Decomposition Techniques in Mathematical Programming Engineering and Science Applications /

• Main Authors: Conejo, Antonio J. (Author), Castillo, Enrique (Author), Mínguez, Roberto (Author), García-Bertrand, Raquel (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
• Subjects: Engineering.; Operations research.; Decision making.; Applied mathematics.; Engineering mathematics.; Management science.; Appl.Mathematics/Computational Methods of Engineering.; Operations Research, Management Science.; Operation Research/Decision Theory.; Applications of Mathematics.

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...

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.