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~subject:"Constraint qualifications"
~subject:"Theorie"
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Search: person:"JEYAKUMAR, VAITHILINGAM"
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Constraint qualifications
Theorie
Mathematical programming
21
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5
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4
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Jeyakumar, Vaithilingam
21
Li, Guoyin
11
Dinh, N.
6
Chieu, N. H.
4
Goberna, M. A.
3
Vicente-Pérez, J.
3
Chuong Thai Doan
2
Li, Chong
2
López, Marco A.
2
Meng, K. W.
2
Mordukhovich, B. S.
2
Ng, K. F.
2
Yang, Xiaoqi
2
Brew, Bruce J.
1
Cysique, Lucette A.
1
Dunbar, Michelle
1
Goberna, Miguel A.
1
Li, G.
1
Linh, N.
1
Mohebi, H.
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Murray, John M.
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Phạm, T. S.
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European journal of operational research : EJOR
7
Operations research letters
7
Top : an official journal of the Spanish Society of Statistics and Operations Research
6
Applied optimization
1
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ECONIS (ZBW)
21
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1
The radius of robust feasibility of uncertain mathematical programs : a survey and recent developments
Goberna, Miguel A.
;
Jeyakumar, Vaithilingam
;
Li, Guoyin
; …
- In:
European journal of operational research : EJOR
296
(
2022
)
3
,
pp. 749-763
Persistent link: https://www.econbiz.de/10013206043
Saved in:
2
Convexifiability of continuous and discrete nonnegative quadratic programs for gap-free duality
Chieu, N. H.
;
Jeyakumar, Vaithilingam
;
Li, Guoyin
- In:
European journal of operational research : EJOR
280
(
2020
)
2
,
pp. 441-452
Persistent link: https://www.econbiz.de/10012132417
Saved in:
3
A copositive Farkas lemma and minimally exact conic relaxations for robust quadratic optimization with binary and quadratic constraints
Chieu, N. H.
;
Chuong Thai Doan
;
Jeyakumar, Vaithilingam
; …
- In:
Operations research letters
47
(
2019
)
6
,
pp. 530-536
Persistent link: https://www.econbiz.de/10012131861
Saved in:
4
Constraint qualifications for convex optimization without convexity of constraints : new connections and applications to best approximation
Chieu, N. H.
;
Jeyakumar, Vaithilingam
;
Li, Guoyin
; …
- In:
European journal of operational research : EJOR
265
(
2018
)
1
,
pp. 19-25
Persistent link: https://www.econbiz.de/10011805281
Saved in:
5
Guaranteeing highly robust weakly efficient solutions for uncertain multi-objective convex programs
Goberna, M. A.
;
Jeyakumar, Vaithilingam
;
Li, Guoyin
; …
- In:
European journal of operational research : EJOR
270
(
2018
)
1
,
pp. 40-50
Persistent link: https://www.econbiz.de/10011868899
Saved in:
6
A convergent hierarchy of SDP relaxations for a class of hard robust global polynomial optimization problems
Chieu, N. H.
;
Jeyakumar, Vaithilingam
;
Li, Guoyin
- In:
Operations research letters
45
(
2017
)
4
,
pp. 325-333
Persistent link: https://www.econbiz.de/10011740347
Saved in:
7
Convergent conic linear programming relaxations for cone convex polynomial programs
Chuong Thai Doan
;
Jeyakumar, Vaithilingam
- In:
Operations research letters
45
(
2017
)
3
,
pp. 220-226
Persistent link: https://www.econbiz.de/10011719293
Saved in:
8
Radius of robust feasibility formulas for classes of convex programs with uncertain polynomial constraints
Goberna, M. A.
;
Jeyakumar, Vaithilingam
;
Li, G.
;
Linh, N.
- In:
Operations research letters
44
(
2016
)
1
,
pp. 67-73
Persistent link: https://www.econbiz.de/10011455576
Saved in:
9
A bilevel Farkas lemma to characterizing global solutions of a class of bilevel polynomial programs
Jeyakumar, Vaithilingam
;
Li, Guoyin
- In:
Operations research letters
43
(
2015
)
4
,
pp. 405-410
Persistent link: https://www.econbiz.de/10011372404
Saved in:
10
Robust solutions to multi-objective linear programs with uncertain data
Goberna, M. A.
;
Jeyakumar, Vaithilingam
;
Li, Guoyin
; …
- In:
European journal of operational research : EJOR
242
(
2015
)
3
,
pp. 730-743
Persistent link: https://www.econbiz.de/10010492433
Saved in:
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