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Stochastic Programming Methods and Technical Applications: Proceedings of the 3rd GAMM/IFIP-Workshop on “Stochastic Optimization: Numerical Methods ... and Mathematical Systems, 458, Band 458) - Softcover

 
9783540639244: Stochastic Programming Methods and Technical Applications: Proceedings of the 3rd GAMM/IFIP-Workshop on “Stochastic Optimization: Numerical Methods ... and Mathematical Systems, 458, Band 458)

Inhaltsangabe

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 problems. This proceedings volume contains a selection of papers on modelling techniques, approximation methods, numerical solution procedures for stochastic optimization problems and applications to the reliability-based optimization of concrete technical or economic systems.

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Über die Autorin bzw. den Autor

Dr. Kurt Marti ist Professor für Mathematik und Rechneranwendung an der Universität der Bundeswehr in München. Er ist Vorsitzender der IFIP-Arbeitsgruppe zur Stochastischen Optimierung und war Vorsitzender der GAMM-Special-Interest-Group Applied Stochastics and Optimization . Professor Marti ist Verfasser mehrerer deutsch- und englischsprachiger Fachbücher zur angewandten Mathematik und zur Optimierung und hat mehr als 160 Beiträge in wissenschaftlichen Zeitschriften veröffentlicht.

Von der hinteren Coverseite

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 problems. This proceedings volume contains a selection of papers on modelling techniques, approximation methods, numerical solution procedures for stochastic optimization problems and applications to the reliability-based optimization of concrete technical or economic systems.

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