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  • Search: subject:"Descent methods"
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Year of publication
Subject
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Descent methods 4 Mathematical programming 3 Mathematische Optimierung 3 Feasible descent methods 2 Global convergence 2 Regularized gap functions 2 Strongly monotone variational inequalities 2 Theorie 2 Theory 2 Block coordinate descent methods 1 Cartesian product sets 1 Convex optimization 1 Equilibrium problems 1 Equilibrium theory 1 Frank–Wolfe 1 Frank–Wolfe method 1 Gap functions 1 Gleichgewichtstheorie 1 Gradient projection 1 Ill-posed problem 1 Inexact decomposition methods 1 Iterative regularization methods 1 Merit functions 1 Metric spaces 1 Model selection 1 Nonlinear programming 1 Quasi-equilibrium problems 1 Relative optimization 1 Singular value decomposition 1 Solution trajectories 1 Stochastic transportation problem 1 Variational inequalities 1 complexity bounds 1 coordinate descent methods 1 fast gradient methods 1 structural optimization 1
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Online availability
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Undetermined 6 Free 1
Type of publication
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Article 7 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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Undetermined 5 English 3
Author
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Han, Deren 2 Lo, Hong K. 2 Cassioli, A. 1 Daneva, Maria 1 Di Lorenzo, D. 1 Fermín, Ana 1 Konnov, Igor V. 1 Larsson, Torbjörn 1 Ludeña, C. 1 Mastroeni, Giandomenico 1 Nesterov, Jurij Evgenʹevič 1 Pappalardo, Massimo 1 Passacantando, Mauro 1 Patriksson, Michael 1 Rydergren, Clas 1 Sciandrone, M. 1 Stich, Sebastian U. 1
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Published in...
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4OR : a quarterly journal of operations research 1 CORE discussion papers : DP 1 Computational Optimization and Applications 1 Computational Statistics 1 European Journal of Operational Research 1 Mathematical Methods of Operations Research 1 Mathematical methods of operations research : ZOR 1 TEST: An Official Journal of the Spanish Society of Statistics and Operations Research 1
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Source
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RePEc 5 ECONIS (ZBW) 3
Showing 1 - 8 of 8
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A general class of relative optimization problems
Konnov, Igor V. - In: Mathematical methods of operations research : ZOR 93 (2021) 3, pp. 501-520
Persistent link: https://www.econbiz.de/10012589462
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Efficiency of accelerated coordinate descent method on structured optimization problems
Nesterov, Jurij Evgenʹevič; Stich, Sebastian U. - 2016
Persistent link: https://www.econbiz.de/10011581865
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Merit functions : a bridge between optimization and equilibria
Pappalardo, Massimo; Mastroeni, Giandomenico; … - In: 4OR : a quarterly journal of operations research 12 (2014) 1, pp. 1-33
Persistent link: https://www.econbiz.de/10010339188
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On the convergence of inexact block coordinate descent methods for constrained optimization
Cassioli, A.; Di Lorenzo, D.; Sciandrone, M. - In: European Journal of Operational Research 231 (2013) 2, pp. 274-281
coordinate descent methods (possibly combined with column generation strategies). We define a general decomposition framework …
Persistent link: https://www.econbiz.de/10010682477
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A comparison of feasible direction methods for the stochastic transportation problem
Daneva, Maria; Larsson, Torbjörn; Patriksson, Michael; … - In: Computational Optimization and Applications 46 (2010) 3, pp. 451-466
Persistent link: https://www.econbiz.de/10008456200
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A statistical view of iterative methods for linear inverse problems
Fermín, Ana; Ludeña, C. - In: TEST: An Official Journal of the Spanish Society of … 17 (2008) 2, pp. 381-400
Persistent link: https://www.econbiz.de/10005184348
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A feasible descent algorithm for solving variational inequality problems
Han, Deren; Lo, Hong K. - In: Computational Statistics 58 (2003) 2, pp. 259-269
In this paper, for solving variational inequality problems (VIPs) we propose a feasible descent algorithm via minimizing the regularized gap function of Fukushima. Under the condition that the underlying mapping of VIP is strongly monotone, the algorithm is globally convergent for any...
Persistent link: https://www.econbiz.de/10010847727
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Cover Image
A feasible descent algorithm for solving variational inequality problems
Han, Deren; Lo, Hong K. - In: Mathematical Methods of Operations Research 58 (2003) 2, pp. 259-269
In this paper, for solving variational inequality problems (VIPs) we propose a feasible descent algorithm via minimizing the regularized gap function of Fukushima. Under the condition that the underlying mapping of VIP is strongly monotone, the algorithm is globally convergent for any...
Persistent link: https://www.econbiz.de/10010950137
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