Nonconvex Variational Optimization is a variational optimization framework distinguished by the presence of nonconvex objective functionals or constraints, where the goal is to identify extrema in function spaces despite the challenges posed by multiple local optima and the absence of global convexity guarantees.
95
Publications
4.5K
Citations
207
Authors
135
Institutions
Publications per year
2017–2026
31
Parents
Publications
95
1–5 of 95
Authors
207
- TA
3
h-index
- PP
3
h-index
- AM
3
h-index
- RVRobert V. Kohn
Courant Institute of Mathematical Sciences, United States
3 publications · 449 citations
3
h-index
- PD
3
h-index
1–5 of 207
Institutions
135
Nanjing University of Science and Technology
Nanjing, China
4 h-index
8 publications
178 citations
Hubei University
Wuhan, China
3 h-index
8 publications
415 citations
University of Łódź
Lodz, Poland
3 h-index
3 publications
49 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
7 publications
1K citations
University of Graz
Graz, Austria
3 h-index
5 publications
170 citations
Aristotle University of Thessaloniki
Thessaloniki, Greece
3 h-index
5 publications
299 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
3 publications
129 citations
Courant Institute of Mathematical Sciences
New York, United States
3 h-index
3 publications
449 citations
1–8 of 135
Venues
- IEEE Transactions on Image Processing
4 publications · 216 citations
4
h-index
- Journal of Optimization Theory and Applications
4 publications · 129 citations
4
h-index
- SIAM Journal on Control and Optimization
3 publications · 350 citations
3
h-index
- SIAM Journal on Imaging Sciences
SIIMS · 3 publications · 183 citations
3
h-index
- Journal of Scientific Computing
3 publications · 114 citations
3
h-index
1–5