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  • Search: subject:"Concave programming"
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Year of publication
Subject
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COVID-19 1 Concave programming 1 Demand elasticity 1 Dynamic pricing 1 Eigeninteresse 1 Frank-Wolfe method 1 Hotel revenue management 1 Konsumtheorie 1 Mathematische Optimierung 1 Zero-norm 1 concave programming 1 indirect utility function 1 marginal rates of substitution · multiple constraint optimization problems 1 quasi-concave programming 1
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Online availability
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Free 3
Type of publication
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Article 2 Book / Working Paper 1
Type of publication (narrower categories)
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Article 2
Language
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English 2 Undetermined 1
Author
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Bandalouski, Andrei M. 1 Besada, Manuel 1 Egorova, Natalja G. 1 García, Javier 1 Kovalyov, Mikhail Y. 1 Mirás, Miguel 1 Pesch, Erwin 1 Rinaldi, Francesco 1 Tarim, S. Armagan 1 Vázquez, Carmen 1
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Institution
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Dipartimento di Ingegneria Informatica, Automatica e Gestionale "Antonio Ruberti", Facoltà di Ingegneria dell'Informazione Informatica e Statistica 1
Published in...
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DIS Technical Reports 1 Journal of Heuristics 1 SERIEs - Journal of the Spanish Economic Association 1
Source
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EconStor 2 RePEc 1
Showing 1 - 3 of 3
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Dynamic pricing with demand disaggregation for hotel revenue management
Bandalouski, Andrei M.; Egorova, Natalja G.; Kovalyov, … - In: Journal of Heuristics 27 (2021) 5, pp. 869-885
In this paper we present a novel approach to the dynamic pricing problem for hotel businesses. It includes disaggregation of the demand into several categories, forecasting, elastic demand simulation, and a mathematical programming model with concave quadratic objective function and linear...
Persistent link: https://www.econbiz.de/10014501568
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Generalized marginal rate of substitution in multiconstraint consumer's problems and their reciprocal expenditure problems
Besada, Manuel; García, Javier; Mirás, Miguel; … - In: SERIEs - Journal of the Spanish Economic Association 2 (2011) 3, pp. 401-421
)when the consumers utility maximization problem with several constraints is formulated as a quasi-concave programming problem …
Persistent link: https://www.econbiz.de/10010317072
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Finding sparse solutions to problems with convex constraints via concave programming
Rinaldi, Francesco - Dipartimento di Ingegneria Informatica, Automatica e … - 2009
In this work, we consider a class of nonlinear optimization problems with convex constraints with the aim of computing sparse solutions. This is an important task arising in various fields such as machine learning, signal processing, data analysis. We adopt a concave optimization-based approach,...
Persistent link: https://www.econbiz.de/10010597743
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