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  • Search: subject:"derivative-free methods"
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Year of publication
Subject
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Derivative-free methods 2 Healthcare problems 1 Induction Motors 1 Mixed-variable optimization 1 Optimal design 1 Simulation-based optimization 1 complexity bounds 1 convex optimization 1 derivative-free methods 1 random methods 1 stochastic optimization 1
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Online availability
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Free 2 Undetermined 1
Type of publication
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Book / Working Paper 2 Article 1
Language
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Undetermined 2 English 1
Author
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Lucidi, Stefano 2 Liuzzi, Giampaolo 1 Maurici, Massimo 1 NESTEROV, Yurii 1 Paulon, Luca 1 Piccialli, Veronica 1 Rinaldi, Francesco 1 Roma, Massimo 1 Villani, Marco 1
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Institution
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Center for Operations Research and Econometrics (CORE), École des Sciences Économiques de Louvain 1 Dipartimento di Ingegneria Informatica, Automatica e Gestionale "Antonio Ruberti", Facoltà di Ingegneria dell'Informazione Informatica e Statistica 1
Published in...
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CORE Discussion Papers 1 Computational Management Science 1 DIAG Technical Reports 1
Source
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RePEc 3
Showing 1 - 3 of 3
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A derivative-free approach for a simulation-based optimization problem in healthcare
Lucidi, Stefano; Maurici, Massimo; Paulon, Luca; … - Dipartimento di Ingegneria Informatica, Automatica e … - 2014
In this work a simulation-based optimization model is considered in the framework of the management of hospital services. Given specific parameters which describe the hospital setting, the simulation model aims at reproducing the hospital processes and evaluating their efficiency. The use of a...
Persistent link: https://www.econbiz.de/10011148676
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Random gradient-free minimization of convex functions
NESTEROV, Yurii - Center for Operations Research and Econometrics (CORE), … - 2011
In this paper, we prove the complexity bounds for methods of Convex Optimization based only on computation of the function value. The search directions of our schemes are normally distributed random Gaussian vectors. It appears that such methods usually need at most n times more iterations than...
Persistent link: https://www.econbiz.de/10009002079
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Design of induction motors using a mixed-variable approach
Liuzzi, Giampaolo; Lucidi, Stefano; Piccialli, Veronica; … - In: Computational Management Science 2 (2005) 3, pp. 213-228
In this paper we are concerned with the problem of optimally designing three-phase induction motors. This problem can be formulated as a mixed variable programming problem. Two different solution strategies have been used to solve this problem. The first one consists in solving the continuous...
Persistent link: https://www.econbiz.de/10005370539
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