Continuous Optimization
Continuous Optimization is a branch of mathematical optimization that investigates problems whose decision variables take values in continuous (typically real-valued) domains and seeks variable values that optimize a given objective function, often under constraints.
3.4K
Publications
246.6K
Citations
6.5K
Authors
2K
Institutions
Publications per year
2017–2026
864
3.4K
1–5 of 3.4K
6.5K
19
h-index
15
h-index
15
h-index
14
h-index
13
h-index
1–5 of 6.5K
2K

Imperial College London
London, United Kingdom
20 h-index
51 publications
2.7K citations

The University of Melbourne
Melbourne, Australia
20 h-index
46 publications
3.3K citations
Carnegie Mellon University
Pittsburgh, United States
19 h-index
50 publications
12.6K citations
University of Illinois Urbana-Champaign
Urbana, United States
19 h-index
35 publications
2.1K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
19 h-index
41 publications
3.7K citations
University of California, Berkeley
Berkeley, United States
19 h-index
45 publications
3K citations
Georgia Institute of Technology
Atlanta, United States
19 h-index
66 publications
4.2K citations

Chinese Academy of Sciences
Beijing, China
18 h-index
43 publications
1.8K citations
1–8 of 2K
72 publications · 9.1K citations
40
h-index
71 publications · 14K citations
37
h-index
114 publications · 6.9K citations
37
h-index
64 publications · 5.9K citations
31
h-index
Repository · 81 publications · 5.2K citations
30
h-index
1–5