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Learning Algorithms for Separable Approximations of Discrete Stochastic Optimization Problems
Powell, Warren; Ruszczynski, Andrzej; Topaloglu, Huseyin - In: Mathematics of operations research 29 (2004) 4, pp. 814-836
Persistent link: https://www.econbiz.de/10006417542
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On the Glivenko-Cantelli Problem in Stochastic Programming: Linear Recourse and Extensions
Pflug, Georg Ch; Ruszczynski, Andrzej; Schultz, Rudiger - In: Mathematics of operations research 23 (1998) 1, pp. 204-220
Persistent link: https://www.econbiz.de/10006419962
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On Convergence of an Augmented Lagrangian Decomposition Method for Sparse Convex Optimization
Ruszczynski, Andrzej - In: Mathematics of operations research 20 (1995) 3, pp. 634-656
Persistent link: https://www.econbiz.de/10006420607
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Conditional Risk Mappings
Ruszczynski, Andrzej; Shapiro, Alexander - In: Mathematics of operations research 31 (2006) 3, pp. 544-561
Persistent link: https://www.econbiz.de/10007282673
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Optimization of Convex Risk Functions
Ruszczynski, Andrzej; Shapiro, Alexander - In: Mathematics of operations research 31 (2006) 3, pp. 433-452
Persistent link: https://www.econbiz.de/10007282679