Vicente Novo

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8ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0001-9033-3180ORCID · verified

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Theory of computation · 8 · 1 since 2021
YearPublicationVenuePosition
2022 Error bound analysis for vector equilibrium problems with partial order provided by a polyhedral cone
abstract
Abstract The aim of this paper is to establish new results on the error bounds for a class of vector equilibrium problems with partial order provided by a polyhedral cone generated by some matrix. We first propose some regularized gap functions of this problem using the concept of $$\mathcal {G}_{A}$$ GA -convexity of a vector-valued function. Then, we derive error bounds for vector equilibrium problems with partial order given by a polyhedral cone in terms of regularized gap functions under some suitable conditions. Finally, a real-world application to a vector network equilibrium problem is given to illustrate the derived theoretical results.
Nguyen Van Hung, Vicente Novo, Vo Minh Tam
J. Glob. Optim.2
2019 Variants of the Ekeland variational principle for approximate proper solutions of vector equilibrium problems
Le Phuoc Hai, Lidia Huerga, Phan Quoc Khanh, Vicente Novo
J. Glob. Optim.4
2018 Approximate solutions of vector optimization problems via improvement sets in real linear spaces
César Gutiérrez, Lidia Huerga, Bienvenido Jiménez, Vicente Novo
J. Glob. Optim.4
2016 Duality related to approximate proper solutions of vector optimization problems
César Gutiérrez, Lidia Huerga, Vicente Novo, Christiane Tammer
J. Glob. Optim.3
2013 An extension of the Basic Constraint Qualification to nonconvex vector optimization problems
Bienvenido Jiménez, Vicente Novo, Miguel Sama
J. Glob. Optim.2
2011 A generic approach to approximate efficiency and applications to vector optimization with set-valued maps
César Gutiérrez, Bienvenido Jiménez, Vicente Novo
J. Glob. Optim.3
2008 Characterizing efficiency without linear structure: a unified approach
Fabián Flores-Bazán, Elvira Hernández, Vicente Novo
J. Glob. Optim.3
2005 Multiplier Rules and Saddle-Point Theorems for Helbig's Approximate Solutions in Convex Pareto Problems
César Gutiérrez, Bienvenido Jiménez, Vicente Novo
J. Glob. Optim.3