Optimization problems arising in practice usually contain several random parameters. Hence, in order to obtain optimal solutions being robust with respect to random parameter variations, the mostly available statistical information about the random parameters should be considered already at the planning phase. The original problem with random parameters must be replaced by an appropriate deterministic substitute problem, and efficient numerical solution or approximation techniques have to be developed for those...

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Stochastic Programming Methods and Technical Applications : Proceedings of the 3rd GAMM/IFIP-Workshop on "Stochastic Optimization: Numerical Methods a

Marti, Kurt

New - Soft cover

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