El estudio de las funciones conexas y afines es de gran importancia en la resolución de problemas de axogramación matemática. Recientemente se ha empezado a considerar la monotonicidad de los gradientes de las fusiones, con el fin de asegurar características de conexidad generalizada en los objetivos. Para ello se introducen los conceptos de...
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November 27, 2014 (v1)PublicationUploaded on: March 27, 2023
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January 15, 2020 (v1)PublicationNecessary and sufficient optimality conditions for vector equilibrium problems on Hadamard manifolds
The aim of this paper is to show the existence and attainability of Karush-Kuhn-Tucker optimality conditions for weakly efficient Pareto points for vector equilibrium problems with the addition of constraints in the novel context of Hadamard manifolds, as opposed to the classical examples of Banach, normed or Hausdorff spaces. More...
Uploaded on: March 27, 2023 -
April 14, 2023 (v1)Publication
In this article, our efforts focus on finding the conditions for the existence of solutions of Mixed Stampacchia Variational Inequality Interval-valued Problem on Hadamard manifolds with monotonicity assumption by using KKM mappings. Conditions that allow us to prove the existence of equilibrium points in a market of perfect competition. We...
Uploaded on: April 15, 2023 -
September 11, 2020 (v1)Publication
This work is intended to lead a study of necessary and sufficient optimality conditions for scalar optimization problems on Hadamard manifolds. In the context of this geometry, we obtain and present new function types characterized by the property of having all their second-order stationary points be global minimums. In order to do so, we...
Uploaded on: March 27, 2023 -
April 13, 2023 (v1)Publication
The aims of this paper are twofold. First, it is shown, for the first time, which types of nonsmooth functions are characterized by all vector critical points as being efficient or weakly efficient solutions of vector optimization problems in constrained and unconstrained scenarios on Hadamard manifolds. This implies the need to extend...
Uploaded on: April 15, 2023 -
June 12, 2020 (v1)Publication
The aims of this paper are twofold. First, it is shown, for the first time, which types of nonsmooth functions are characterized by all vector critical points as being efficient or weakly efficient solutions of vector optimization problems in constrained and unconstrained scenarios on Hadamard manifolds. This implies the need to extend...
Uploaded on: December 4, 2022 -
March 11, 2019 (v1)Publication
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Uploaded on: March 27, 2023 -
October 11, 2018 (v1)Publication
Our goal in this paper is to translate results on function classes that are characterized by the property that all the Karush-Kuhn-Tucker points are efficient solutions, obtained in Euclidean spaces to Riemannian manifolds. We give two new characterizations, one for the scalar case and another for the vectorial case, unknown in this subject...
Uploaded on: December 4, 2022 -
October 28, 2022 (v1)Publication
This paper introduces a new condition on the functionals of a control problem and extends a recent characterization result of KT-invexity. We prove that the new condition, the FJinvexity, is both necessary and sufficient in order to characterize the optimal solution set using Fritz John points.
Uploaded on: December 4, 2022 -
June 21, 2021 (v1)Publication
In this paper, we deal with the resolution of a fuzzy multiobjective programming problem using the level sets optimization. We compare it to other optimization strategies studied until now and we propose an algorithm to identify possible Pareto efficient optimal solutions.
Uploaded on: March 25, 2023 -
October 27, 2022 (v1)Publication
In this paper, we focus on necessary and sufficient efficiency conditions for optimization problems with multiple objectives and a feasible set defined by interval-valued functions. A new concept of Fritz-John and Karush–Kuhn–Tucker-type points is introduced for this mathematical programming problem based on the gH-derivative concept. The...
Uploaded on: March 24, 2023