Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Roberto Cristóvão Mesquita Silva"'
Publikováno v:
Numerical Algorithms. 88:1811-1829
In this paper, we propose and study the problem of solve non-linear inclusion problem in Banach spaces, where the involved operator can be written as sum of a Frechet differentiable function with a continuous perturbation. We use a specific technique
Autor:
Sandro Dimy Barbosa Bitar, João Xavier da Cruz Neto, J. O. Lopes, J. C. O. Souza, Roberto Cristóvão Mesquita Silva
Publikováno v:
Optimization. 71:263-284
For solving constrained multiobjective problems with a vector-valued DC (difference of convex) objective function, we consider a vectorial Bregman regularized proximal point method which extends bo...
Publikováno v:
Journal of Computational and Applied Mathematics. 269:86-100
An implementable proximal point algorithm is established for the smooth nonconvex unconstrained minimization problem. At each iteration, the algorithm minimizes approximately a general quadratic by a truncated strategy with step length control. The m
Publikováno v:
IMA Journal of Numerical Analysis. 32:1696-1713
Publikováno v:
Journal of Global Optimization. 45:211-227
The convergence of primal and dual central paths associated to entropy and exponential functions, respectively, for semidefinite programming problem are studied in this paper. It is proved that the primal path converges to the analytic center of the
Autor:
Paulo Roberto de Oliveira, Roberto Cristóvão Mesquita Silva, Orizon P. Ferreira, J. X. da Cruz Neto
Publikováno v:
Journal of Optimization Theory and Applications. 139:227-242
The relationships among the central path in the context of semidefinite programming, generalized proximal-point method and Cauchy trajectory in a Riemannian manifolds is studied in this paper. First, it is proved that the central path associated to a