Singular Perturbations In Optimization
Singular Perturbations in Optimization is a theoretical framework within applied mathematics that characterizes optimization problems involving a small parameter inducing non-uniform convergence, thereby necessitating asymptotic analysis to resolve disparate scales in the decision variables or constraints.
82
Publications
3.9K
Citations
138
Authors
93
Institutions
Publications per year
2017–2026
8
Parents
82
1–5 of 82
138
Rutgers, The State University of New Jersey, United States
5 publications · 395 citations
5
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4
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4
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3
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2
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1–5 of 138
93
Rutgers, The State University of New Jersey
New Brunswick, United States
6 h-index
7 publications
333 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
6 publications
610 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
3 publications
97 citations
North Carolina State University
Raleigh, United States
3 h-index
4 publications
144 citations
Chemnitz University of Technology
Chemnitz, Germany
2 h-index
4 publications
90 citations
New York University
New York, United States
2 h-index
2 publications
163 citations
AT&T (United States)
Bedminster, United States
2 h-index
4 publications
74 citations
Courant Institute of Mathematical Sciences
New York, United States
2 h-index
2 publications
402 citations
1–8 of 93
8 publications · 379 citations
8
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9 publications · 629 citations
8
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5 publications · 270 citations
5
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4 publications · 130 citations
4
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4 publications · 75 citations
4
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1–5