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  • Search: subject:"Local error bound"
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Subject
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Local error bound condition 3 Trust region method 3 Local error bound 2 Nonlinear equation system 2 Nonlinear equations 2 Superlinear convergence 2 Generalized Nash Equilibrium Problem 1 Global and local convergence 1 Global convergence 1 Hölderian local error bound 1 LP-Newton method 1 Levenberg-Marquardt method 1 Local quadratic convergence 1 Nonsmooth and nonconvex optimization 1 Potential reduction algorithm 1 Regularized proximal Newton method 1
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Undetermined 5 Free 1
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Article 6
Type of publication (narrower categories)
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Article 1
Language
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Undetermined 5 English 1
Author
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Fan, Jinyan 2 Wang, Yong 2 Zhang, Ju-liang 2 Dreves, Axel 1 Facchinei, Francisco 1 Fischer, Andreas 1 Herrich, Markus 1 Kanzow, Christian 1 Pan, Jianyu 1 vom Dahl, Simeon 1
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Computational Optimization and Applications 4 Computational Statistics 1 Mathematical Methods of Operations Research 1
Source
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RePEc 5 EconStor 1
Showing 1 - 6 of 6
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An inexact regularized proximal Newton method without line search
vom Dahl, Simeon; Kanzow, Christian - In: Computational Optimization and Applications 89 (2024) 3, pp. 585-624
In this paper, we introduce an inexact regularized proximal Newton method (IRPNM) that does not require any line search. The method is designed to minimize the sum of a twice continuously differentiable function f and a convex (possibly non-smooth and extended-valued) function φ. Instead of...
Persistent link: https://www.econbiz.de/10015361797
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A new error bound result for Generalized Nash Equilibrium Problems and its algorithmic application
Dreves, Axel; Facchinei, Francisco; Fischer, Andreas; … - In: Computational Optimization and Applications 59 (2014) 1, pp. 63-84
convergence theory on a local error bound and provide a new sufficient condition for it to hold that is weaker than known ones. In …
Persistent link: https://www.econbiz.de/10010937799
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A Shamanskii-like Levenberg-Marquardt method for nonlinear equations
Fan, Jinyan - In: Computational Optimization and Applications 56 (2013) 1, pp. 63-80
only a LM step but also m−1 approximate LM steps are computed, where m is a positive integer. Under the local error bound …
Persistent link: https://www.econbiz.de/10010998305
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An improved trust region algorithm for nonlinear equations
Fan, Jinyan; Pan, Jianyu - In: Computational Optimization and Applications 48 (2011) 1, pp. 59-70
Persistent link: https://www.econbiz.de/10008925522
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A new trust region method for nonlinear equations
Zhang, Ju-liang; Wang, Yong - In: Computational Statistics 58 (2003) 2, pp. 283-298
local error bound condition. This condition is weaker than the nondegeneracy assumption which is necessary for superlinear …
Persistent link: https://www.econbiz.de/10010847964
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A new trust region method for nonlinear equations
Zhang, Ju-liang; Wang, Yong - In: Mathematical Methods of Operations Research 58 (2003) 2, pp. 283-298
local error bound condition. This condition is weaker than the nondegeneracy assumption which is necessary for superlinear …
Persistent link: https://www.econbiz.de/10010950340
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