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  • Search: subject:"Lipschitz optimization"
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Year of publication
Subject
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Lipschitz optimization 5 concave production cost 3 concave-convex programming 3 inventory 3 joint setup 3 multi-item 3 Bilevel optimization 1 Gas networks 1 Global optimization 1 Mixed-integer nonlinear optimization 1 Neural networks 1 Unknown follower problems 1
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Online availability
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Free 5
Type of publication
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Book / Working Paper 3 Article 2
Type of publication (narrower categories)
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Article 2
Language
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Undetermined 3 English 2
Author
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Bayindir, Bayindir, Z.P. 2 Birbil, Birbil, S.I. 2 Frenk, Frenk, J.B.G. 2 Schmidt, Martin 2 Bayindir, Z.P. 1 Birbil, S.I. 1 Frenk, J.B.G. 1 Molan, Ioana 1 Sirvent, Mathias 1 Wollner, Winnifried 1
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Institution
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Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam. 1 Erasmus Research Institute of Management (ERIM), Erasmus Universiteit Rotterdam 1 Faculteit der Economische Wetenschappen, Erasmus Universiteit Rotterdam 1
Published in...
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Optimization Letters 2 ERIM Report Series Research in Management 1 Econometric Institute Research Papers 1 Research Paper / Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam. 1
Source
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RePEc 3 EconStor 2
Showing 1 - 5 of 5
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Using neural networks to solve linear bilevel problems with unknown lower level
Molan, Ioana; Schmidt, Martin - In: Optimization Letters 17 (2023) 5, pp. 1083-1103
Lipschitz optimization techniques from the literature to solve this reformulation and illustrate the applicability of the …
Persistent link: https://www.econbiz.de/10015166344
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The cost of not knowing enough: mixed-integer optimization with implicit Lipschitz nonlinearities
Schmidt, Martin; Sirvent, Mathias; Wollner, Winnifried - In: Optimization Letters 16 (2021) 5, pp. 1355-1372
It is folklore knowledge that nonconvex mixed-integer nonlinear optimization problems can be notoriously hard to solve in practice. In this paper we go one step further and drop analytical properties that are usually taken for granted in mixed-integer nonlinear optimization. First, we only...
Persistent link: https://www.econbiz.de/10014501901
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A Multi-Item Inventory Model With Joint Setup And Concave Production Costs
Bayindir, Bayindir, Z.P.; Birbil, Birbil, S.I.; Frenk, … - Erasmus Research Institute of Management (ERIM), … - 2004
The present paper discusses an approach to solve the joint replenishment problem in a production environment with concave production cost functions. Under this environment, the model leads to a global optimization problem, which is investigated by using some standard results from convex...
Persistent link: https://www.econbiz.de/10010731067
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A Multi-Item Inventory Model With Joint Setup And Concave Production Costs
Bayindir, Bayindir, Z.P.; Birbil, Birbil, S.I.; Frenk, … - Faculteit der Economische Wetenschappen, Erasmus … - 2004
The present paper discusses an approach to solve the joint replenishment problem in a production environment with concave production cost functions. Under this environment, the model leads to a global optimization problem, which is investigated by using some standard results from convex...
Persistent link: https://www.econbiz.de/10010837784
Saved in:
Cover Image
A Multi-Item Inventory Model With Joint Setup And Concave Production Costs
Bayindir, Z.P.; Birbil, S.I.; Frenk, J.B.G. - Erasmus Research Institute of Management (ERIM), ERIM … - 2004
Setup, Lipschitz Optimization, Concave-Convex Programming A Multi-item Inventory Model with Joint Setup and Concave …, multi-item, concave production cost, joint setup, Lipschitz optimization, concave- convex programming 1 Introduction … dimensional Lipschitz optimization methods can be applied to solve the problem. One of these approaches will be further elaborated …
Persistent link: https://www.econbiz.de/10005795612
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