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Inhaltsverzeichnis
- 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.