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  • Search: subject:"asymptotic convergence"
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Year of publication
Subject
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asymptotic convergence 6 Asymptotic convergence 4 Estimation theory 3 Schätztheorie 3 Stochastic process 3 Stochastischer Prozess 3 Forest management 2 M-estimation 2 Mathematical programming 2 Mathematische Optimierung 2 Newton-Raphson methods 2 Optimization 2 Ramsey model 2 competitive equilibrium 2 intertemporal resource allocation 2 neighborhood turnpike theorem 2 stochastic approximation 2 stochastic equicontinuity 2 von Neumann growth model 2 Age classes 1 Algorithm 1 Algorithmus 1 Asymptotic convergence order 1 Augmented Lagrangian 1 Augmented penalty 1 Convergence analysis 1 Convergence rate in expectation 1 Derivative-free optimization 1 Discrepancy function 1 Finitely-maximal programs 1 Good programs 1 Inventory model 1 Kullback–Leibler divergence 1 Lagerhaltungsmodell 1 Large-scale nonconvex optimization 1 Learning process 1 Least-squares 1 Lernprozess 1 Levenberg-Marquardt method 1 Local convergence 1
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Online availability
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Undetermined 7 Free 4
Type of publication
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Article 9 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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Undetermined 7 English 4
Author
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Blume, Lawrence E. 2 Corsi, Fulvio 2 Durlauf, Steven N. 2 Martinoli, Mario 2 Piazza, Adriana 2 Seri, Raffaello 2 Ali Khan, M. 1 Bhatnagar, Shalabh 1 Conn, Andrew 1 Dussault, Jean-Pierre 1 Fu, Mingyang 1 Karmakar, Prasenjit 1 Li, Xiaobo 1 McKenzie, Lionel W. 1 Necoara, Ion 1 Patrascu, Andrei 1 Piazza, M. Ali Khan Adriana 1 Zhang, Hongchao 1 Zhang, Lianmin 1
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Institution
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Palgrave Macmillan 2
Published in...
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Computational Optimization and Applications 2 The New Palgrave Dictionary of Economics 2 Economic Theory 1 Journal of Economic Theory 1 Journal of Global Optimization 1 LEM Working Paper Series 1 LEM working paper series 1 Manufacturing & service operations management : M & SOM 1 Mathematics of operations research 1
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Source
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RePEc 7 ECONIS (ZBW) 3 EconStor 1
Showing 1 - 10 of 11
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Generalized optimization algorithms for complex models
Martinoli, Mario; Seri, Raffaello; Corsi, Fulvio - 2024
Linking the statistic and the machine learning literature, we provide new general results on the convergence of stochastic approximation schemes and inexact Newton methods. Building on these results, we put forward a new optimization scheme that we call generalized inexact Newton method (GINM)....
Persistent link: https://www.econbiz.de/10015045957
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Generalized optimization algorithms for complex models
Martinoli, Mario; Seri, Raffaello; Corsi, Fulvio - 2024
Linking the statistic and the machine learning literature, we provide new general results on the convergence of stochastic approximation schemes and inexact Newton methods. Building on these results, we put forward a new optimization scheme that we call generalized inexact Newton method (GINM)....
Persistent link: https://www.econbiz.de/10014634825
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Distributionally robust newsvendor under stochastic dominance with a feature-based application
Fu, Mingyang; Li, Xiaobo; Zhang, Lianmin - In: Manufacturing & service operations management : M & SOM 26 (2024) 5, pp. 1962-1977
Persistent link: https://www.econbiz.de/10015133206
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Two time-scale stochastic approximation with controlled markov noise and off-policy temporal-difference learning
Karmakar, Prasenjit; Bhatnagar, Shalabh - In: Mathematics of operations research 43 (2018) 1, pp. 130-151
Persistent link: https://www.econbiz.de/10011818672
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Efficient random coordinate descent algorithms for large-scale structured nonconvex optimization
Patrascu, Andrei; Necoara, Ion - In: Journal of Global Optimization 61 (2015) 1, pp. 19-46
case, when the objective function is nonconvex and composite we prove asymptotic convergence for the sequences generated by …
Persistent link: https://www.econbiz.de/10011151237
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On the Mitra–Wan forestry model: A unified analysis
Ali Khan, M.; Piazza, Adriana - In: Journal of Economic Theory 147 (2012) 1, pp. 230-260
setting, proves to be necessary and sufficient for the asymptotic convergence of good programs. …
Persistent link: https://www.econbiz.de/10011042964
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On the local convergence of a derivative-free algorithm for least-squares minimization
Zhang, Hongchao; Conn, Andrew - In: Computational Optimization and Applications 51 (2012) 2, pp. 481-507
Persistent link: https://www.econbiz.de/10010539366
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Improved convergence order for augmented penalty algorithms
Dussault, Jean-Pierre - In: Computational Optimization and Applications 44 (2009) 3, pp. 373-383
Persistent link: https://www.econbiz.de/10008502554
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The optimal harvesting problem with a land market: a characterization of the asymptotic convergence
Piazza, Adriana - In: Economic Theory 40 (2009) 1, pp. 113-138
Persistent link: https://www.econbiz.de/10005147361
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Turnpike theory: a current perspective
Piazza, M. Ali Khan Adriana - Palgrave Macmillan
1976 outline furnished by McKenzie. Thus, it differentiates asymptotic convergence of infinite-horizon optimal programs …
Persistent link: https://www.econbiz.de/10011141082
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