Produktbild: Decomposition Techniques in Mathematical Programming
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Decomposition Techniques in Mathematical Programming Engineering and Science Applications

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Beschreibung

Produktdetails

Verkaufsrang

23836

Einband

Gebundene Ausgabe

Erscheinungsdatum

10.01.2006

Abbildungen

XVI, 542 p.

Verlag

Springer Berlin

Seitenzahl

542

Maße (B/H)

21/29,7 cm

Gewicht

1017 g

Sprache

Englisch

ISBN

978-3-540-27685-2

Beschreibung

Rezension

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 large number of examples and exercises with applications from economics and electrical, mechanical, energy, and civil engineering makes the book extremely valuable for people working in these areas who want to get a quick … and qualified, introduction to relevant decomposition techniques. The large number of exercises makes it attractive as a textbook … ." (K. Schittkowski, Mathematical Reviews, Issue 2007 e)


"Mathematical programming is one of the main techniques used in theoretical and applied operations research (OR). … This book is primarily oriented to the students in science and engineering. However, its material and style of presentation also make it suitable for students of business management, OR, and applied economics. … I think that this book would be valuable in the libraries of all institutions that teach advanced mathematical-programming courses … ." (A. Žilinskas, Interfaces, Vol. 37 (5), 2007)

Produktdetails

Verkaufsrang

23836

Einband

Gebundene Ausgabe

Erscheinungsdatum

10.01.2006

Abbildungen

XVI, 542 p.

Verlag

Springer Berlin

Seitenzahl

542

Maße (B/H)

21/29,7 cm

Gewicht

1017 g

Sprache

Englisch

ISBN

978-3-540-27685-2

Herstelleradresse

Springer Nature Customer Service Center GmbH
Europaplatz 3
69115 Heidelberg
DE
ProductSafety@springernature.com

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  • Produktbild: Decomposition Techniques in Mathematical Programming
  • 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.