Stochastic Programming Methods and Technical Applications
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.
| ISBN: | 9783540639244 |
|---|---|
| Sprache: | Englisch |
| Seitenzahl: | 437 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Kall, Peter Marti, Kurt |
| Verlag: | Springer Berlin |
| Veröffentlicht: | 18.03.1998 |
| Untertitel: | Proceedings of the 3rd GAMM/IFIP-Workshop on “Stochastic Optimization: Numerical Methods and Technical Applications” held at the Federal Armed Forces University Munich, Neubiberg/München, Germany, June 17–20, 1996 |
| Schlagworte: | Estimator Normal distribution Optimierung mittels sukzessive Approximation STATISTICA approximative optimization correlation linear optimization numerical optimization numerische Optimierung optimization |