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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Autori principali: Conejo, Antonio J., 19-, Castillo, Enrique (Autore), García-Bertrand, Raquel (Autore), Mínguez, Roberto (Autore)
Natura: Livre numérique
Lingua:Anglais
Pubblicazione: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer [20..].
Cham : Springer Nature
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Nota: Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Decomposition techniques in mathematical programming, engineering and science applications, Antonio J. Conejo ... [et autres], Berlin, Springer, 2006, 1 volume (xvi-541 pages), 3-540-27685-8
Sommario:
  • 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