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European journal of operational research : EJOR
2
Mathematics of operations research
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Operations research letters : a journal of INFORMS devoted to the rapid publication of concise contributions in operations research
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Linear convergence of projection algorithms
Dao, Minh N.
;
Phan, Hung M.
- In:
Mathematics of operations research
44
(
2019
)
2
,
pp. 715-738
Persistent link: https://www.econbiz.de/10012028706
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2
Quantitative convergence analysis of iterated expansive, set-valued mappings
Luke, D. Russell
;
Thao, Nguyen H.
;
Tam, Matthew K.
- In:
Mathematics of operations research
43
(
2018
)
4
,
pp. 1143-1176
Persistent link: https://www.econbiz.de/10011956917
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3
An inexact algorithm for stochastic variational inequalities
Buscaglia, Emelin L.
;
Lotito, Pablo A.
;
Parente, Lisandro A.
- In:
Operations research letters : a journal of INFORMS …
52
(
2024
),
pp. 1-8
Persistent link: https://www.econbiz.de/10015049112
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4
A new algorithm for linearly constrained c-convex vector optimization with a supply chain network risk application
Qu, Shaojian
;
Goh, Mark
;
de Souza, Robert
- In:
European journal of operational research : EJOR
247
(
2015
)
2
,
pp. 359-365
Persistent link: https://www.econbiz.de/10011374497
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5
Entropy-like minimization methods based on modified proximal point algorithm
Hamdi, Abdelouahed
;
Bnouhachem, Abdellah
- In:
INFOR : information systems and operational research
52
(
2014
)
3
,
pp. 147-156
Persistent link: https://www.econbiz.de/10011389444
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Proximal point algorithms for nonsmooth convex optimization with fixed point constraints
Iiduka, Hideaki
- In:
European journal of operational research : EJOR
253
(
2016
)
2
,
pp. 503-513
Persistent link: https://www.econbiz.de/10011490370
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7
An inexact algorithm with proximal distances for variational inequalities
Quiroz, E. A. Papa
;
Ramirez, L. Mallma
;
Oliveira, P. R.
- In:
RAIRO
52
(
2018
)
1
,
pp. 159-176
Persistent link: https://www.econbiz.de/10011968679
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8
An inertial-like proximal algorithm for equilibrium problems
Dang van Hieu
- In:
Mathematical methods of operations research
88
(
2018
)
3
,
pp. 399-415
Persistent link: https://www.econbiz.de/10011949764
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