Optimization Under Constraints
Optimization Under Constraints is a mathematical framework within geometric optimization that seeks to minimize or maximize an objective function over a feasible region defined by explicit equality and inequality constraints restricting the allowable values of the variables.
662
Publications
45.2K
Citations
1.2K
Authors
566
Institutions
Publications per year
2017–2026
83
662
An Introduction to Optimization
E.K.P. Chong, Stanisław H. Żak · IEEE Antennas and Propagation Magazine · 1996 · 881 citations
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Carnegie Mellon University
Pittsburgh, United States
14 h-index
23 publications
1.8K citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
17 publications
1.5K citations
University of Washington
Seattle, United States
9 h-index
12 publications
824 citations
Massachusetts Institute of Technology
Cambridge, United States
9 h-index
15 publications
546 citations

UNSW Sydney
Sydney, Australia
9 h-index
16 publications
449 citations
Stanford University
Stanford, United States
9 h-index
25 publications
1.6K citations

Imperial College London
London, United Kingdom
9 h-index
16 publications
707 citations

Universidade Estadual de Campinas (UNICAMP)
Campinas, Brazil
8 h-index
11 publications
520 citations
1–8 of 566
58 publications · 5K citations
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36 publications · 1.3K citations
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24 publications · 1.6K citations
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17 publications · 1.6K citations
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24 publications · 867 citations
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