Finite-horizon Optimization
Finite-Horizon Optimization is a dynamic optimization problem in which the objective is to determine a sequence of decisions over a fixed and finite number of time periods to maximize or minimize a given performance criterion.
764
Publications
39.3K
Citations
1.6K
Authors
692
Institutions
Publications per year
2017–2026
195
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University of Michigan
Ann Arbor, United States
23 h-index
60 publications
3.2K citations
Massachusetts Institute of Technology
Cambridge, United States
22 h-index
44 publications
3.3K citations
National University of Singapore
Singapore, Singapore
20 h-index
36 publications
4.8K citations
Columbia University
New York, United States
15 h-index
27 publications
3K citations
Stanford University
Stanford, United States
13 h-index
18 publications
3.9K citations

University of Toronto
Toronto, Canada
12 h-index
16 publications
965 citations
University of Illinois Urbana-Champaign
Urbana, United States
12 h-index
21 publications
2.2K citations
Carnegie Mellon University
Pittsburgh, United States
12 h-index
21 publications
1.7K citations
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49 publications · 5.5K citations
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42 publications · 2.9K citations
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35 publications · 3.9K citations
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19 publications · 806 citations
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Repository · 18 publications · 652 citations
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