Métodos subgradientes em otimização convexa não diferenciável

Abstract

The goal of this work is describe the State of the Art about Subgradients Methods for optimization of nondifferentiable convex functions. We initially present a historical of these methods, basic concepts on differentiable optimization, necessary to the comprehension of certain important notions about nondifferentiable problems, as well as these problems and its own characteristics. Subsequently, a short introduction about nondifferentiable methods is presented for, then, devote to Subgradients Methods, its extensions and recent works. The Dissertation is finished with the presentation of some applications, its results and conclusions.