Problemas de Otimização Quase Convexos: Método do Gradiente para Funções Escalares e Vetoriais
Gorde:
| Egile nagusia: | |
|---|---|
| Argitaratze data: | 2011 |
| Formatua: | Master thesis |
| Hizkuntza: | por |
| Baliabidea: | Repositório Institucional da UFG |
| Download full: | http://repositorio.bc.ufg.br/tede/handle/tde/1946 |
Gaia: | This work we study the convergence properties of the Gradient Method Designed and Descent Method for Multi-objective optimization. At first, our optimization problem is to minimize a real function of n-variables, continuously differentiable and restricted to a set of simple structure and add on the objective function of the hypothesis of pseudo-convexity or quasi-convexity. Then we consider the problem of unconstrained multi-objective optimization and add some hypotheses about the function vector, such as convexity or quasi-convexity, and is continuously differentiable. It is noteworthy that in both problems will be used to search for inexact Armijo over viable directions. |
Izan zaitez lehena ohar bat uzten!