Mixed-Integer Quadratic Programming is an optimization paradigm within mathematical programming that distinguishes itself by incorporating both integer and continuous decision variables in a quadratic objective function subject to linear constraints.
386
Publications
24.3K
Citations
1K
Authors
457
Institutions
Publications per year
2017–2026
181
Variants
Miqp
Parents
Publications
386
JuMP: A MODELING LANGUAGE FOR MATHEMATICAL OPTIMIZATION
2016 · 1.4K citations
Support Vector Machines for Multiple-Instance Learning
Stuart Andrews, Ioannis Tsochantaridis, Thomas Hofmann · 2002 · 1.4K citations
JuMP: A Modeling Language for Mathematical Optimization
SIAM Review · 2017 · 1.2K citations · Full text
1–5 of 386
Authors
1K
- AB
12
h-index
- MM
9
h-index
- VV
5
h-index
- HS
5
h-index
- YZ
5
h-index
1–5 of 1K
Institutions
457
Tsinghua University
Beijing, China
13 h-index
46 publications
3K citations
Massachusetts Institute of Technology
Cambridge, United States
12 h-index
25 publications
1.5K citations
IMT School for Advanced Studies Lucca
Lucca, Italy
10 h-index
17 publications
582 citations
Carnegie Mellon University
Pittsburgh, United States
9 h-index
21 publications
959 citations
Nanyang Technological University
Singapore, Singapore
9 h-index
24 publications
743 citations
Zhejiang University
Hangzhou, China
7 h-index
21 publications
999 citations
ETH Zurich
Zurich, Switzerland
7 h-index
21 publications
1.6K citations
Shandong University
Jinan, China
6 h-index
8 publications
458 citations
1–8 of 457
Venues
- IEEE Transactions on Power Systems
21 publications · 1.7K citations
19
h-index
- Mathematical Programming
15 publications · 2.2K citations
13
h-index
- IEEE Transactions on Smart Grid
13 publications · 926 citations
13
h-index
- INFORMS journal on computing
9 publications · 465 citations
9
h-index
- Operations Research
9 publications · 613 citations
9
h-index
1–5