Stochastic Quadratic Programming
Stochastic Quadratic Programming is a mathematical optimization framework that extends quadratic programming by incorporating uncertain parameters modeled through random variables, thereby optimizing expected objective values subject to probabilistic constraints.
72
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3K
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179
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97
Institutions
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2017–2026
19
Parents
72
Stefano Di Cairano, Daniele Bernardini, Alberto Bemporad et al. · IEEE Transactions on Control Systems Technology · 2013 · 442 citations
A Stochastic Approach to Goal Programming
Bruno Contini · Operations Research · 1968 · 114 citations
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97

University of Regina
Regina, Canada
7 h-index
12 publications
369 citations

North China Electric Power University
Beijing, China
6 h-index
12 publications
277 citations
University of Michigan
Ann Arbor, United States
3 h-index
5 publications
516 citations
University of Chicago
Chicago, United States
3 h-index
3 publications
62 citations

UNSW Sydney
Sydney, Australia
3 h-index
6 publications
181 citations

International Computer Science Institute
Berkeley, United States
2 h-index
2 publications
50 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
3 publications
157 citations
China Agricultural University
Beijing, China
2 h-index
4 publications
50 citations
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5 publications · 142 citations
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5 publications · 174 citations
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4 publications · 223 citations
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3 publications · 77 citations
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2 publications · 47 citations
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