Two-Stage Recourse Optimization is a stochastic programming framework in which decisions are made sequentially in two stages—the first stage involves deterministic decisions before uncertainty is realized, and the second stage allows corrective (recourse) actions after uncertainty is revealed—distinguished by its explicit modeling of adaptive responses to probabilistic scenarios.
53
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3.7K
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118
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74
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2017–2026
8
Parents
Publications
53
Stochastic Programs with Recourse
David W. Walkup, Roger J.‐B. Wets · SIAM Journal on Applied Mathematics · 1967 · 192 citations
1–5 of 53
Authors
118
- SS
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1–5 of 118
Institutions
74
University of Arizona
Tucson, United States
4 h-index
6 publications
1.1K citations
University of Waterloo
Waterloo, Canada
4 h-index
7 publications
448 citations
University of Michigan
Ann Arbor, United States
3 h-index
4 publications
351 citations
Xi'an Jiaotong University
Xi'an, China
3 h-index
8 publications
704 citations
Texas A&M University
College Station, United States
3 h-index
5 publications
230 citations
Cornell University
Ithaca, United States
3 h-index
3 publications
239 citations
University of Groningen
Groningen, The Netherlands
2 h-index
4 publications
129 citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
3 publications
598 citations
1–8 of 74
Venues
- Mathematical Programming
4 publications · 634 citations
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- European Journal of Operational Research
4 publications · 176 citations
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- IEEE Transactions on Power Systems
3 publications · 178 citations
3
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- IEEE Transactions on Smart Grid
2 publications · 215 citations
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- Annals of Operations Research
2 publications · 100 citations
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