Kniha Stability, Approximation, and Decomposition in Two- and Multistage Stochastic Programming Christian Küchler

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

Jazyk: Angličtina
Väzba: Brožovaná
Dostupnosť: Skladom u dodávateľa
Odosielame za 5-8 dní
50.04
Stochastic programming provides a framework for modelling, analyzing, and solving optimization probl...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2009
Stránok
186
EAN
9783834809216
ISBN
3834809217
Enbook ID
01782103
Hmotnosť
230
Rozmery
148 x 210 x 10

Kompletný popis

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 Küchler studies various aspects of the stability of stochastic optimization problems as well as approximation and decomposition methods in stochastic programming. One of these aspects is the problem of the quantitative stability of linear multistage stochastic programs under perturbations or approximations of the underlying stochastic processes. The author further 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.

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