Deterministic Upper Bounds for Risk-averse Multistage Stochastic Programs
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We show how to derive a dual formulation for Multistage Stochastic Programs with risk averse objectives, leading to a converging algorithm and corresponding deterministic upper bounds. This is a joint work with Vincent Leclère.
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