Titlebook: Stochastic Programming Methods and Technical Applications; Proceedings of the 3 Kurt Marti,Peter Kall Conference proceedings 1998 Springer-

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0075-8442 puter support and * technical applications of stochastic optOptimization 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 th

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P. Kallobal analysis usually considered for the characterization of nanoscale systems with complex mesoscopic properties. The basis of this systemic approach comes from ultrasound imaging of the complexity with examples coming from the non-destructive testing (NDT) industry and from the medical harmonic im