Quadratic double-ratio minimax optimization
Year of publication: |
2021
|
---|---|
Authors: | Zare, Arezu ; Ashrafi, Ali ; Xia, Yong |
Published in: |
Operations research letters. - Amsterdam [u.a.] : Elsevier, ISSN 0167-6377, ZDB-ID 720735-9. - Vol. 49.2021, 4, p. 543-547
|
Subject: | Fractional programming | Global optimization | Minimax optimization | Quadratic programming | Semidefinite programming | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Nichtlineare Optimierung | Nonlinear programming |
-
Robust quadratic programming with mixed-integer uncertainty
Mittal, Areesh, (2020)
-
Using SVM to combine global heuristics for the Standard Quadratic Problem
Dellepiane, Umberto, (2015)
-
On the design of R-based scalable frameworks for data science applications
Theußl, Stefan Peter, (2020)
- More ...
-
The efficiency of the hotel industry in Singapore
Ashrafi, Ali, (2013)
-
The efficiency of the hotel industry in Singapore
Ashrafi, Ali, (2013)
-
Partial Lagrangian relaxation for the unbalanced orthogonal Procrustes problem
Xia, Yong, (2014)
- More ...