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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Conejo, Antonio J. (Autor), Castillo, Enrique (Autor), Minguez, Roberto (Autor), Garcia-Bertrand, Raquel (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Temas:
Engineering mathematics.
Engineering-Data processing.
Operations research.
Management science.
Mathematics.
Mathematical and Computational Engineering Applications.
Operations Research, Management Science .
Operations Research and Decision Theory.
Applications of Mathematics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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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