Stochastic Optimization: Numerical Methods and Technical Applications: Lecture Notes in Economics and Mathematical Systems, cartea 379

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.