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Vieweg?? Verlag

Stability, Approximation, and Decomposition in Two- And Multistage Stochastic Programming

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Product Code: 9783834809216
ISBN13: 9783834809216
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$61.47

Stability, Approximation, and Decomposition in Two- And Multistage Stochastic Programming

$61.47
 
Stochastic programming provides a framework for modelling, analyzing, and solving optimization problems with some parameters being not known up to a probability distribution. Such problems arise in a variety of applications, such as inventory control, financial planning and portfolio optimization, airline revenue management, scheduling and operation of power systems, and supply chain management.

Christian K?chler studies various aspects of the stability of stochastic optimization problems as well as approximation and decomposition methods in stochastic programming. In particular, the author presents an extension of the Nested Benders decomposition algorithm related to the concept of recombining scenario trees. The approach combines the concept of cut sharing with a specific aggregation procedure and prevents an exponentially growing number of subproblem evaluations. Convergence results and numerical properties are discussed.




Author: Christian Küchler
Publisher: Vieweg?? Verlag
Publication Date: Sep 24, 2009
Number of Pages: 184 pages
Binding: Paperback or Softback
ISBN-10: 3834809217
ISBN-13: 9783834809216
 

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