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~isPartOf:"Mathematics of operations research"
~isPartOf:"Omega : the international journal of management science"
~isPartOf:"Working paper / National Bureau of Economic Research, Inc."
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Nichtlineare Optimierung
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Mathematics of operations research
Omega : the international journal of management science
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EURO Advanced Tutorials on Operational Research
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ECONIS (ZBW)
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1
On the Douglas-Rachford algorithm for solving possibly inconsistent optimization problems
Bauschke, Heinz
;
Moursi, Walaa M.
- In:
Mathematics of operations research
49
(
2024
)
1
,
pp. 58-77
Persistent link: https://www.econbiz.de/10014527205
Saved in:
2
A first-order primal-dual method for nonconvex constrained optimization based on the augmented lagrangian
Zhu, Daoli
;
Zhao, Lei
;
Zhang, Shuzhong
- In:
Mathematics of operations research
49
(
2024
)
1
,
pp. 125-150
Persistent link: https://www.econbiz.de/10014527298
Saved in:
3
An adaptive Lagrangian-based scheme for nonconvex composite optimization
Hallak, Nadav
;
Teboulle, Marc
- In:
Mathematics of operations research
48
(
2023
)
4
,
pp. 2337-2352
Persistent link: https://www.econbiz.de/10014437829
Saved in:
4
Iteration complexity of a proximal augmented lagrangian method for solving nonconvex composite optimization problems with nonlinear convex constraints
Kong, Weiwei
;
Melo, Jefferson G.
;
Monteiro, Renato D. C.
- In:
Mathematics of operations research
48
(
2023
)
2
,
pp. 1066-1094
Persistent link: https://www.econbiz.de/10014314979
Saved in:
5
Extrapolated proximal subgradient algorithms for nonconvex and nonsmooth fractional programs
Boţ, Radu Ioan
;
Dao, Minh N.
;
Li, Guoyin
- In:
Mathematics of operations research
47
(
2022
)
3
,
pp. 2415-2443
Persistent link: https://www.econbiz.de/10013375071
Saved in:
6
A variable sample-size stochastic quasi-newton method for smooth and nonsmooth stochastic convex optimization
Jalilzadeh, Afrooz
;
Nedić, Angelia
;
Shanbhag, Uday V.
; …
- In:
Mathematics of operations research
47
(
2022
)
1
,
pp. 690-719
Persistent link: https://www.econbiz.de/10013364937
Saved in:
7
An optimal high-order tensor method for convex optimization
Jiang, Bo
;
Wang, Haoyue
;
Zhang, Shuzhong
- In:
Mathematics of operations research
46
(
2021
)
4
,
pp. 1390-1412
Persistent link: https://www.econbiz.de/10012796646
Saved in:
8
Time-varying semidefinite programs
Ahmadi, Amir Ali
;
El Khadir, Bachir
- In:
Mathematics of operations research
46
(
2021
)
3
,
pp. 1054-1080
Persistent link: https://www.econbiz.de/10012625683
Saved in:
9
Strong metric (sub)regularity of Karush-Kuhn-Tucker mappings for piecewise linear-quadratic convex-composite optimization and the quadratic convergence of Newton's method
Burke, James V.
;
Engle, Abraham
- In:
Mathematics of operations research
45
(
2020
)
3
,
pp. 1164-1192
Persistent link: https://www.econbiz.de/10012293377
Saved in:
10
A two-stage stochastic programming approach for identifying optimal postponement strategies in supply chains with uncertain demand
Weskamp, Christoph
;
Koberstein, Achim
;
Schwartz, Frank
; …
- In:
Omega : the international journal of management science
83
(
2018
),
pp. 123-138
Persistent link: https://www.econbiz.de/10011989130
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