Discrete-time Optimization
Discrete-Time Optimization is a mathematical framework within dynamic optimization that formulates and solves sequential decision-making problems by optimizing a performance criterion over a countable set of time points, where system dynamics and control actions are defined at discrete intervals rather than continuously.
411
Publications
18.9K
Citations
945
Authors
459
Institutions
Publications per year
2017–2026
91
Parents
411
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945
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University of Illinois Urbana-Champaign
Urbana, United States
11 h-index
22 publications
943 citations

Southeast University
Nanjing, China
9 h-index
20 publications
671 citations

Sun Yat-sen University
Guangzhou, China
8 h-index
23 publications
1.3K citations

Northeastern University
Shenyang, China
7 h-index
13 publications
603 citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
9 publications
295 citations
Georgia Institute of Technology
Atlanta, United States
7 h-index
13 publications
292 citations
Technion – Israel Institute of Technology
Haifa, Israel
6 h-index
8 publications
211 citations
University of Michigan
Ann Arbor, United States
6 h-index
10 publications
244 citations
1–8 of 459
31 publications · 2K citations
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12 publications · 302 citations
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10 publications · 410 citations
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9 publications · 488 citations
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7 publications · 456 citations
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