Stability, Approximation, and Decomposition in Two- and Multistage Stochastic Programming (eBook, PDF)

Stability, Approximation, and Decomposition in Two- and Multistage Stochastic Programming (eBook, PDF)

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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. In particular, the author p...

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