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  • Search: subject:"Active set methods"
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Year of publication
Subject
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Active-set methods 3 Active set methods 1 Barzilai-Borwein gradient methods 1 Bound constrained minimization problems 1 CGRASP 1 Constrained lasso 1 Convex programming 1 Convex quadratic optimization 1 Decomposition method 1 Decomposition methods 1 Dekompositionsverfahren 1 GENCAN 1 Global optimization 1 Heuristic 1 Large-scale minimization problems 1 Large-scale optimization 1 Mathematical programming 1 Mathematische Optimierung 1 Nichtlineare Optimierung 1 Nonlinear programming 1 Nonmonotone Newton-type methods 1 Projected Newton-type methods 1 Semi-smooth Newton methods 1 Stochastic methods 1 Theorie 1 Theory 1
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Undetermined 4
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Article 4
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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Undetermined 3 English 1
Author
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Birgin, Ernesto 1 Cristofari, Andrea 1 Curtis, Frank 1 Gozzi, Erico 1 Han, Zheng 1 Lucidi, S. 1 Pillo, G. 1 Resende, Mauricio 1 Robinson, Daniel 1 Santis, M. 1 Silva, Ricardo 1
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Computational Optimization and Applications 2 European journal of operational research : EJOR 1 Journal of Global Optimization 1
Source
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RePEc 3 ECONIS (ZBW) 1
Showing 1 - 4 of 4
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A decomposition method for lasso problems with zero-sum constraint
Cristofari, Andrea - In: European journal of operational research : EJOR 306 (2023) 1, pp. 358-369
Persistent link: https://www.econbiz.de/10014278010
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A globally convergent primal-dual active-set framework for large-scale convex quadratic optimization
Curtis, Frank; Han, Zheng; Robinson, Daniel - In: Computational Optimization and Applications 60 (2015) 2, pp. 311-341
contrast to classical active-set methods, our framework allows for multiple simultaneous changes in the active-set estimate …
Persistent link: https://www.econbiz.de/10011241251
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An active set feasible method for large-scale minimization problems with bound constraints
Santis, M.; Pillo, G.; Lucidi, S. - In: Computational Optimization and Applications 53 (2012) 2, pp. 395-423
We are concerned with the solution of the bound constrained minimization problem {minf(x), l≤x≤u}. For the solution of this problem we propose an active set method that combines ideas from projected and nonmonotone Newton-type methods. It is based on an iteration of the form x <Superscript> k+1</Superscript>=[x <Superscript> k </Superscript>+α...</superscript></superscript>
Persistent link: https://www.econbiz.de/10010998290
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Continuous GRASP with a local active-set method for bound-constrained global optimization
Birgin, Ernesto; Gozzi, Erico; Resende, Mauricio; … - In: Journal of Global Optimization 48 (2010) 2, pp. 289-310
Persistent link: https://www.econbiz.de/10008673931
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