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  • Search: subject:"Nonconvex problems"
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Year of publication
Subject
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Nonconvex problems 3 Bargaining 1 Interactive multiobjective optimization 1 Krylov subspace methods 1 Large scale optimization 1 Mathematical programming 1 Mathematische Optimierung 1 Multi-criteria analysis 1 Multikriterielle Entscheidungsanalyse 1 Multiple objective programming 1 Nash solution 1 Navigation 1 Newton–Krylov methods 1 Pareto efficiency 1 Pareto optimality 1 Pareto-Optimum 1 Preconditioning 1 Social Welfare Orderings 1 Theorie 1 Theory 1 convex relaxation of nonconvex problems 1 hidden convexity 1 partially separable functions 1 robust optimization 1
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Online availability
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Undetermined 3 Free 1
Type of publication
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Article 3 Book / Working Paper 1
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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Ben-Tal, A. 1 Den Hertog, Dick 1 Denicolò, Vincenzo 1 Fasano, Giovanni 1 Hartikainen, Markus 1 Klamroth, Kathrin 1 Laurent, M. 1 Mariotti, Marco 1 Miettinen, Kaisa 1 Roma, Massimo 1
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Institution
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Tilburg University, Center for Economic Research 1
Published in...
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Computational Optimization and Applications 1 Discussion Paper / Tilburg University, Center for Economic Research 1 European journal of operational research : EJOR 1 Theory and Decision 1
Source
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RePEc 3 ECONIS (ZBW) 1
Showing 1 - 4 of 4
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Interactive Nonconvex Pareto Navigator for multiobjective optimization
Hartikainen, Markus; Miettinen, Kaisa; Klamroth, Kathrin - In: European journal of operational research : EJOR 275 (2019) 1, pp. 238-251
Persistent link: https://www.econbiz.de/10011993255
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Hidden Convexity in Partially Separable Optimization
Den Hertog, Dick; Ben-Tal, A.; Laurent, M. - Tilburg University, Center for Economic Research - 2011
at the same time are global optimal solutions of the original nonconvex problems. Such a hidden convexity property was so …
Persistent link: https://www.econbiz.de/10011092230
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Preconditioning Newton–Krylov methods in nonconvex large scale optimization
Fasano, Giovanni; Roma, Massimo - In: Computational Optimization and Applications 56 (2013) 2, pp. 253-290
We consider an iterative preconditioning technique for non-convex large scale optimization. First, we refer to the solution of large scale indefinite linear systems by using a Krylov subspace method, and describe the iterative construction of a preconditioner which does not involve matrices...
Persistent link: https://www.econbiz.de/10010998360
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Nash Bargaining Theory, Nonconvex Problems and Social Welfare Orderings
Denicolò, Vincenzo; Mariotti, Marco - In: Theory and Decision 48 (2000) 4, pp. 351-358
Persistent link: https://www.econbiz.de/10009403158
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