Se desarrolla una generalizaci\uf3n del m\ue9todo de punto proximal cl\ue1sico y el m\ue9todo de punto proximal con distancias de Bregman bajo condiciones de convexidad. Partiendo de una sucesi\uf3n arbitraria de funciones de Bregman convergente puntualmente, el m\ue9todo propuesto permite generalizar los casos cl\ue1sicos que han sido desarrollados para una funci\uf3n Bregman fija, considerando propiedades que regulan el comportamiento de la sucesi\uf3n de distancias de Bregman. Como consecuencia, se obtiene un m\ue9todo que converge al minimizador de la funci\uf3n objetivo. Palabras claves: M\ue9todo de punto proximal, distancias de Bregman, sucesiones de funciones de Bregman. ABSTRACT A generalization of the classical proximal point...
We formulate and prove a convex duality theorem for Bregman distances and present a technique based ...
Submitted by Christianne Fontes de Andrade (cfontes@ct.ufrj.br) on 2019-05-23T17:16:39Z No. of bitst...
Este trabalho insere-se no contexto de métodos de ponto proximal para a resolução de problemas de de...
A generalization of the classical proximal point method and the method of proximal point with Bregma...
Se desarrolla una generalización del método de punto proximal clásico y el método de punto proximal ...
We consider methods for minimizing a convex function f that generate a sequence fx k g by taking ...
The paper introduces a proximal point algorithm for solving equilibrium problems on convex sets with...
In this article, we consider the proximal point method with Bregman distance applied to linear progr...
In this article, we consider the proximal point method with Bregman distance applied to linear progr...
This paper establishes convergence of generalized Bregman-function-based proximal point algorithms w...
This paper establishes convergence of generalized Bregman-function-based proximal point algorithms w...
We consider methods for minimizing a convex function $f$ that generate a sequence ${x^k}$ by taking ...
In this article, we develop a generalized proximal point algorithm for finding a weak Pareto optimal...
We formulate and prove a convex duality theorem for Bregman distances and present a technique based ...
An inexact proximal point algorithm using quasi-distances is introduced to give a solution of a mini...
We formulate and prove a convex duality theorem for Bregman distances and present a technique based ...
Submitted by Christianne Fontes de Andrade (cfontes@ct.ufrj.br) on 2019-05-23T17:16:39Z No. of bitst...
Este trabalho insere-se no contexto de métodos de ponto proximal para a resolução de problemas de de...
A generalization of the classical proximal point method and the method of proximal point with Bregma...
Se desarrolla una generalización del método de punto proximal clásico y el método de punto proximal ...
We consider methods for minimizing a convex function f that generate a sequence fx k g by taking ...
The paper introduces a proximal point algorithm for solving equilibrium problems on convex sets with...
In this article, we consider the proximal point method with Bregman distance applied to linear progr...
In this article, we consider the proximal point method with Bregman distance applied to linear progr...
This paper establishes convergence of generalized Bregman-function-based proximal point algorithms w...
This paper establishes convergence of generalized Bregman-function-based proximal point algorithms w...
We consider methods for minimizing a convex function $f$ that generate a sequence ${x^k}$ by taking ...
In this article, we develop a generalized proximal point algorithm for finding a weak Pareto optimal...
We formulate and prove a convex duality theorem for Bregman distances and present a technique based ...
An inexact proximal point algorithm using quasi-distances is introduced to give a solution of a mini...
We formulate and prove a convex duality theorem for Bregman distances and present a technique based ...
Submitted by Christianne Fontes de Andrade (cfontes@ct.ufrj.br) on 2019-05-23T17:16:39Z No. of bitst...
Este trabalho insere-se no contexto de métodos de ponto proximal para a resolução de problemas de de...