Quadratic Optimization is a mathematical optimization method within the class of nonlinear programming problems, distinguished by an objective function that is quadratic in the decision variables and constraints that are linear or quadratic, aimed at finding the global or local minimum of the function over a feasible region.
1.7K
Publications
118.9K
Citations
3.5K
Authors
1.2K
Institutions
Publications per year
2017–2026
404
Parents
Publications
1.7K
Making Large-Scale SVM Learning Practical
Thorsten Joachims · Technical reports · 2006 · 4.3K citations · Full text
Semidefinite Relaxation of Quadratic Optimization Problems
Zhi‐Quan Luo, Wing‐Kin Ma, Anthony Man–Cho So et al. · IEEE Signal Processing Magazine · 2010 · 3.6K citations
1–5 of 1.7K
Authors
3.5K
- JW
13
h-index
- YY
13
h-index
- IM
12
h-index
- PM
11
h-index
- VJ
11
h-index
1–5 of 3.5K
Institutions
1.2K
Chinese University of Hong Kong
Hong Kong, Hong Kong
24 h-index
45 publications
5.1K citations
Stanford University
Stanford, United States
22 h-index
51 publications
4.2K citations
Centre National de la Recherche Scientifique
Paris, France
19 h-index
64 publications
2.7K citations
University of Illinois Urbana-Champaign
Urbana, United States
19 h-index
36 publications
1.6K citations
National University of Singapore
Singapore, Singapore
18 h-index
83 publications
3.8K citations
Chinese Academy of Sciences
Beijing, China
18 h-index
46 publications
3.1K citations
University of Minnesota
Minneapolis, United States
17 h-index
32 publications
2.5K citations
Princeton University
Princeton, United States
16 h-index
23 publications
11.1K citations
1–8 of 1.2K
Venues
- SIAM Journal on Optimization
72 publications · 9.7K citations
42
h-index
- Mathematical Programming
75 publications · 5.7K citations
40
h-index
- IEEE Transactions on Automatic Control
38 publications · 3.8K citations
24
h-index
- Optimization methods & software
27 publications · 2.5K citations
22
h-index
- European Journal of Operational Research
34 publications · 1.8K citations
21
h-index
1–5