Stochastic Optimization

Kurt Marti

ISBN 10: 3540552251 / ISBN 13: 9783540552253

Editore: Springer, Springer Vieweg Apr 1992, 1992

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This item is printed on demand - it takes 3-4 days longer - Neuware -This volume includes a selection of papers presented at the GAMM/ IFIP-Workshop on IIStochastic Optimization: Numerical Methods and ll Technical Applications , held at the Federal Armed Forces Univer sity Munich, May 29-31, 1990. The objective of this meeting was to bring together scientists from Stochastic Programming and from those Engineering areas, where Mathematical Programming models are common tools, as e.g. Optimal structural Design, Power Dispatch, Acid Rain Abatement etc . Hence, the aim was to discuss the effects of taking into account the in herent randomness of some data of these problems, i.e. considering Stochastic Programming instead of Mathematical Programming models in order to get solutions being more reliable, but not more expen sive. An international programme committe2 was formed which included H.A. Eschenauer (Germany) P. Kall (Switzerland) K. Marti (Germany, Chairman) J. Mayer (Hungary) G.I. Schueller (Austria) Although the number of participants had to be small for technical reasons, the area covered by the lectures during the workshop was rather broad. It contains theoretical insight into stochastic pro gramming problems, new computational approaches, analyses of known solution methods, and applications in such very different technical fields as ecology, energy demands, and optimal reliability of me chanical structures. In particular, the applied presentation also pointed to several open methodological problems. 196 pp. Englisch.

Codice articolo 9783540552253

Dati bibliografici

• Titolo: Stochastic Optimization
• Editore: Springer, Springer Vieweg Apr 1992
• Data di pubblicazione: 1992
• Lingua: Inglese
• ISBN 10: 3540552251
• ISBN 13: 9783540552253
• Rilegatura: Taschenbuch
• Condizione: Neu

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Riassunto

This volume includes a selection of papers presented at the GAMM/ IFIP-Workshop on IIStochastic Optimization: Numerical Methods and ll Technical Applications , held at the Federal Armed Forces Univer­ sity Munich, May 29-31, 1990. The objective of this meeting was to bring together scientists from Stochastic Programming and from those Engineering areas, where Mathematical Programming models are common tools, as e.g. Optimal structural Design, Power Dispatch, Acid Rain Abatement etc .. Hence, the aim was to discuss the effects of taking into account the in­ herent randomness of some data of these problems, i.e. considering Stochastic Programming instead of Mathematical Programming models in order to get solutions being more reliable, but not more expen­ sive. An international programme committe2 was formed which included H.A. Eschenauer (Germany) P. Kall (Switzerland) K. Marti (Germany, Chairman) J. Mayer (Hungary) G.I. Schueller (Austria) Although the number of participants had to be small for technical reasons, the area covered by the lectures during the workshop was rather broad. It contains theoretical insight into stochastic pro­ gramming problems, new computational approaches, analyses of known solution methods, and applications in such very different technical fields as ecology, energy demands, and optimal reliability of me­ chanical structures. In particular, the applied presentation also pointed to several open methodological problems.

Contenuti

I. Theoretical Results.- Finite Convergence in Stochastic Programming.- Lattice Rules for Multiple Integration.- Limit Theorems on the Robbins-Monro Process for Different Variance Behaviors of the Stochastic Gradient.- Continuity and Stability in Two-Stage Stochastic Integer Programming.- II. Applications and Methods.- Three Approaches for Solving the Stochastic Multiobjective Programming Problem.- A Stochastic Programming Model for Optimal Power Dispatch: Stability and Numerical Treatment.- Computational Techniques for Probabilistic Constrained Optimization Problems.- Stochastic Optimization in Acid Rain Management with Variable Meteorology.- Collapse Load Analysis and Optimal Design by Stochasic Programming with Uncertainties of Loads.