Chance-constrained Programming With Recourse
Chance-Constrained Programming with Recourse is a stochastic optimization framework that belongs to the class of decision-making models under uncertainty, distinguished by its integration of probabilistic constraints to ensure feasibility with a specified confidence level and the inclusion of adaptive corrective actions taken after the realization of random parameters.
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Stochastic convex programming: basic duality
R. T. Rockafellar, Roger J.‐B. Wets · Pacific Journal of Mathematics · 1976 · 121 citations · Full text
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Johns Hopkins Medicine
Baltimore, United States
2 h-index
3 publications
107 citations

Johns Hopkins University
Baltimore, United States
2 h-index
3 publications
107 citations
University of Michigan
Ann Arbor, United States
2 h-index
2 publications
389 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
4 publications
273 citations
University of Arizona
Tucson, United States
2 h-index
3 publications
154 citations

Zuse Institute Berlin
Berlin, Germany
2 h-index
2 publications
107 citations
University of Cyprus
Nicosia, Cyprus
1 h-index
2 publications
114 citations
Kent State University
Kent, United States
1 h-index
1 publications
12 citations
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6 publications · 719 citations
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3 publications · 142 citations
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3 publications · 104 citations
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2 publications · 85 citations
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