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Search: subject:"Karush-Kuhn-Tucker conditions"
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Karush-Kuhn-Tucker conditions
9
Karush–Kuhn–Tucker conditions
5
Mathematical programming
4
Mathematische Optimierung
4
Theorie
3
Theory
3
Betriebliche Standortwahl
2
Bi-level mixed integer nonlinear model
2
Competitive facility location
2
Firm location choice
2
Ganzzahlige Optimierung
2
H-differentiability
2
Hausdorff metric
2
Hukuhara difference
2
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2
Lagrange function multipliers
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Tabu Search algorithm
2
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1
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1
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1
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1
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1
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1
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1
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1
Excess-of-loss reinsurance
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Forest economics
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Hamilton-Jacobi-Bellman equation
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Bagherinejad, Jafar
2
Niknam, Azar
2
Wu, Hsien-Chung
2
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1
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1
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1
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1
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1
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1
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Decisions in economics and finance : a journal of applied mathematics
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1
Optimal proportional and excess-of-loss reinsurance for multiple classes of insurance business
Torrente, Maria-Laura
- In:
Decisions in economics and finance : a journal of …
46
(
2023
)
2
,
pp. 611-633
Persistent link: https://www.econbiz.de/10014443758
Saved in:
2
A novel approach to fuzzy based efficiency assessment of a financial system
Mesgarani, H.
;
Aghdam, Y. Esmaeelzade
;
Beiranvand, A.
; …
- In:
Computational economics
63
(
2024
)
4
,
pp. 1609-1626
Persistent link: https://www.econbiz.de/10014549129
Saved in:
3
Pharmaceutical supply chain network and competitive distributor location
Namazian, Zahra
;
Kiani Mavi, Reza
- In:
International journal of services and operations …
42
(
2022
)
2
,
pp. 151-175
Persistent link: https://www.econbiz.de/10013257575
Saved in:
4
Solving the competitive facility location problem considering the reactions of competitor with a hybrid algorithm including Tabu Search and exact method
Bagherinejad, Jafar
;
Niknam, Azar
- In:
Journal of Industrial Engineering International
14
(
2018
)
1
,
pp. 171-183
method. The performance of the proposed algorithm is compared with an upper bound that is achieved by applying
Karush-Kuhn-Tucker
…
conditions
. Computational results show that our algorithm finds near the upper bound solutions in a reasonable time. …
Persistent link: https://www.econbiz.de/10011995830
Saved in:
5
Solving the competitive facility location problem considering the reactions of competitor with a hybrid algorithm including Tabu Search and exact method
Bagherinejad, Jafar
;
Niknam, Azar
- In:
Journal of industrial engineering international
14
(
2018
)
1
,
pp. 171-183
method. The performance of the proposed algorithm is compared with an upper bound that is achieved by applying
Karush–Kuhn–Tucker
…
conditions
. Computational results show that our algorithm finds near the upper bound solutions in a reasonable time. …
Persistent link: https://www.econbiz.de/10011840835
Saved in:
6
Multiple-stand forest management under fire risk : analytical characterization of stationary rotation ages and optimal carbon sequestration policy
Dumollard, Gaspard
- In:
Journal of forest economics : JFE
32
(
2018
),
pp. 146-154
Persistent link: https://www.econbiz.de/10012127458
Saved in:
7
The improved screening curve method regarding existing units
Güner, Yusuf Emre
- In:
European journal of operational research : EJOR
264
(
2018
)
1
,
pp. 310-326
Persistent link: https://www.econbiz.de/10011801710
Saved in:
8
Optimal portfolio execution under time-varying liquidity constraints
Lin, Hua-Yi
;
Fahim, Arash
- In:
Applied mathematical finance
24
(
2017
)
5/6
,
pp. 387-416
Persistent link: https://www.econbiz.de/10011815279
Saved in:
9
Integrating reference point, Kuhn-Tucker conditions and neural network approach for multi-objective and multi-level programming problems
Rizk-Allah, R. M.
;
Abo-Sinna, Mahmoud A.
- In:
Opsearch : journal of the Operational Research Society …
54
(
2017
)
4
,
pp. 663-683
Persistent link: https://www.econbiz.de/10011847490
Saved in:
10
A new MM algorithm for constrained estimation in the proportional hazards model
Ding, Jieli
;
Tian, Guo-Liang
;
Yuen, Kam Chuen
- In:
Computational Statistics & Data Analysis
84
(
2015
)
C
,
pp. 135-151
of the constrained estimators are derived by using the Lagrangian method based on
Karush–Kuhn–Tucker
conditions
. A novel …
Persistent link: https://www.econbiz.de/10011191012
Saved in:
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