Interior-Point Methods for Flow is a computational optimization framework belonging to the class of interior-point algorithms, specifically designed to solve network flow problems by traversing the interior of the feasible region to efficiently converge to an optimal solution.
305
Publications
18.6K
Citations
573
Authors
287
Institutions
Publications per year
2017–2026
46
Parents
Publications
305
On the Implementation of a Primal-Dual Interior Point Method
Sanjay Mehrotra · SIAM Journal on Optimization · 1992 · 1.6K citations
Interior point methods 25 years later
Jacek Gondzio · European Journal of Operational Research · 2011 · 383 citations · Full text
1–5 of 305
Authors
573
- VQ
12
h-index
- FA
7
h-index
- YY
7
h-index
- MA
6
h-index
- RA
6
h-index
1–5 of 573
Institutions
287
University of Waterloo
Waterloo, Canada
18 h-index
37 publications
3.1K citations
University of Iowa
Iowa City, United States
11 h-index
17 publications
1.3K citations
Universidade Estadual de Campinas (UNICAMP)
Campinas, Brazil
9 h-index
17 publications
511 citations
Georgia Institute of Technology
Atlanta, United States
7 h-index
11 publications
1.8K citations
Stanford University
Stanford, United States
7 h-index
11 publications
359 citations
COMSATS University Islamabad
Islamabad, Pakistan
6 h-index
9 publications
679 citations
Universidade Estadual Paulista (Unesp)
São Paulo, Brazil
6 h-index
21 publications
451 citations
University of Edinburgh
Edinburgh, United Kingdom
6 h-index
9 publications
731 citations
1–8 of 287
Venues
- IEEE Transactions on Power Systems
38 publications · 5.3K citations
32
h-index
- Mathematical Programming
26 publications · 1.4K citations
19
h-index
- Journal of Optimization Theory and Applications
16 publications · 1.3K citations
14
h-index
- Computational Optimization and Applications
13 publications · 642 citations
12
h-index
- European Journal of Operational Research
11 publications · 972 citations
10
h-index
1–5