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  • Search: subject:"Inequality Constrained Optimization"
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Year of publication
Subject
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Inequality constrained optimization 4 Global convergence 2 SQP method 2 Superlinear convergence 2 Calmness 1 Exactness 1 Fusion 1 Global and superlinear convergence 1 Inequality Constrained Optimization 1 Logit model 1 Logit-Modell 1 Market power 1 Marktmacht 1 Mathematical programming 1 Merger 1 Merger Simulation 1 Method of moments 1 Momentenmethode 1 Objective penalty function 1 Preiswettbewerb 1 Price competition 1 Quasi-Newton method 1 Random Coefficients Logit 1 Reduced Hessian method 1 Sequential quadratic programming 1 Simulation 1 Stability 1 Stackelberg Pricing 1 Stackelberg competition 1 Stackelberg-Wettbewerb 1 Theorie 1 Theory 1
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Online availability
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Undetermined 4 Free 1
Type of publication
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Article 4 Book / Working Paper 1
Type of publication (narrower categories)
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Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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Undetermined 4 English 1
Author
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Jian, Jinbao 2 Zhang, Kecun 2 Zhu, Zhibin 2 Dang, Chuangyin 1 Jiang, Min 1 Liu, Tao-Wen 1 Meng, Zhiqing 1 Romeo, Charles J. 1 Shen, Rui 1 Xu, Xinsheng 1
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Published in...
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Computational Optimization and Applications 1 Computational Statistics 1 Economic Analysis Group discussion paper 1 Journal of Global Optimization 1 Mathematical Methods of Operations Research 1
Source
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RePEc 4 ECONIS (ZBW) 1
Showing 1 - 5 of 5
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Incorporating prior information into a GMM objective for mixed logit demand systems
Romeo, Charles J. - 2012 - First Draft: February 2012
It is well known that random parameters specifications can generate upward sloping demands for a subset of products in the data. Nevo (2001), for example, found 0.7 percent of demands to be upward sloping. Possibly less well known is that demand system estimates can imply margins outside of the...
Persistent link: https://www.econbiz.de/10012112903
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Exactness and algorithm of an objective penalty function
Meng, Zhiqing; Dang, Chuangyin; Jiang, Min; Xu, Xinsheng; … - In: Journal of Global Optimization 56 (2013) 2, pp. 691-711
a global solution to an inequality constrained optimization problem and its global convergence is also proved under some … constrained optimization. In terms of exactness, this objective penalty function is at least as good as traditional exact penalty … design and management. In this paper, we study exactness and algorithm of an objective penalty function for inequality …
Persistent link: https://www.econbiz.de/10010680603
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A reduced Hessian SQP method for inequality constrained optimization
Liu, Tao-Wen - In: Computational Optimization and Applications 49 (2011) 1, pp. 31-59
Persistent link: https://www.econbiz.de/10009149867
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An improved SQP algorithm for inequality constrained optimization
Zhu, Zhibin; Zhang, Kecun; Jian, Jinbao - In: Computational Statistics 58 (2003) 2, pp. 271-282
In this paper, the feasible type SQP method is improved. A new algorithm is proposed to solve nonlinear inequality constrained problem, in which a new modified method is presented to decrease the computational complexity. It is required to solve only one QP subproblem with only a subset of the...
Persistent link: https://www.econbiz.de/10010848024
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Cover Image
An improved SQP algorithm for inequality constrained optimization
Zhu, Zhibin; Zhang, Kecun; Jian, Jinbao - In: Mathematical Methods of Operations Research 58 (2003) 2, pp. 271-282
In this paper, the feasible type SQP method is improved. A new algorithm is proposed to solve nonlinear inequality constrained problem, in which a new modified method is presented to decrease the computational complexity. It is required to solve only one QP subproblem with only a subset of the...
Persistent link: https://www.econbiz.de/10010950389
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