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SPEPS Preprint

Author(s): Darinka Dentcheva, Stevens Institute of Technology
Andrzej Ruszczynski, Rutgers University
Title: Optimization with stochastic dominance constraints
Date of Acceptance: 18.06.2003
Submission Date: 15.06.2003
Series Title: Stochastic Programming E-Print Series
(SPEPS)
Editors: Julie L. Higle; Werner Römisch; Surrajeet Sen
Keywords (eng): stochastic dominance, Stochastic programming, duality, partial orders, optimality conditions
Appeared in: SIAM journal on optimization 2 (Vol. 14, 2003)
SIAM - Society for Industrial and Applied Mathematics (Philadelphia, Pa.)
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Abstract (eng):
We introduce stochastic optimization problems involving stochastic dominance constraints. We develop necessary and sufficient conditions of optimality and duality theory for theses models and we show that the Lagrange multipliers corresponding to dominance constraints are concave nondecreasing utility functions. The models and results are illustrated on a portfolio optimization problem.
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