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Handling CVaR objectives and constraints in two-stage stochastic models
Authors:Csaba I Fábián
Institution:Department of Operations Research, Loránd Eötvös University of Budapest, P.O. Box 120, H-1518 Budapest, Hungary
Abstract:Based on the polyhedral representation of Künzi-Bay and Mayer Künzi-Bay, A., Mayer, J., 2006. Computational aspects of minimizing conditional value-at-risk. Computational Management Science 3, 3–27] , we propose decomposition frameworks for handling CVaR objectives and constraints in two-stage stochastic models.
Keywords:Stochastic programming  Finance  Convex programming  Decomposition methods
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