Um algoritmo proximal com quase-distância

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Kaituhi matua: Assunção Filho, Pedro Bonfim de
Rā whakaputa: 2015
Hōputu: Master thesis
Reo: por
Puna: Repositório Institucional da UFG
Download full: http://repositorio.bc.ufg.br/tede/handle/tede/4521
Whakarāpopototanga: In this work, based in [1, 18], we study the convergence of method of proximal point (MPP) regularized by a quasi-distance, applied to an optimization problem. The objective function considered not is necessarily convex and satisfies the property of Kurdyka- Lojasiewicz around by their generalized critical points. More specifically, we will show that any limited sequence, generated from MPP, converge the a generalized critical point.