Authors: Ricardo A Collado Dávid Papp Andrzej Ruszczyński
Publish Date: 2011/08/10
Volume: 200, Issue: 1, Pages: 147-170
Abstract
For a riskaverse multistage stochastic optimization problem with a finite scenario tree we introduce a new scenario decomposition method and we prove its convergence The main idea of the method is to construct a family of riskneutral approximations of the problem The method is applied to a riskaverse inventory and assembly problem In addition we develop a partially regularized bundle method for nonsmooth optimization
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