DEPARTAMENTO DE MATEMÁTICA – CFM / UFSC

Seminário de Otimização & Problemas Inversos

Título: Inexact Newton regularizations with uniformly convex stability terms: a unified convergence analysis

Fábio Margotti (UFSC)

Resumo: We present a unified convergence analysis of inexact Newton regularizations for nonlinear ill-posed problems in Banach spaces. These schemes consist of an outer (Newton) iteration and an inner iteration which provides the update of the current outer iterate. To this end the nonlinear problem is linearized about the current iterate and the resulting linear system is approximately (inexactly) solved by an inner regularization method. In our analysis we only rely on generic assumptions of the inner methods and we show that a variety of regularization techniques satisfies these assumptions. For instance, gradient-type and iterated-Tikhonov methods are covered. Not only the technique of proof is novel, but also the results obtained, because for the first time uniformly convex penalty terms stabilize the inner scheme.

Palestrante: Fábio Margotti (UFSC)
Data: Segunda-feira,  19 de Junho , 14h
Local: Auditório Airton Silva do Departamento de Matemática

Maiores informações:  http://mtm.ufsc.br/~maicon/seminar

E. Krukoski

Seminario de Matematica Aplicada

On a family of gradient type projection methods for nonlinear ill-posed problems

Prof. Dr. Antonio C. G. Leitão – MTM/UFSC

Resumo: We propose and analyze a family of successive projection methods whose step direction is the same as Landweber method for solving nonlinear ill-posed problems that satisfy the Tangential Cone Condition (TCC). This family encompasses Landweber method, the minimal error method, and the steepest descent method; thus providing an unified framework for the analysis of these methods. Moreover, we define in this family new methods which are convergent for the constant of the TCC in a range twice as large as the one required for the Landweber and other gradient type methods.

Dia – Hora: 07/07/2016 – 15:00 h
Local: Auditório Departamento de Matemática, MTM 007, CFM/UFSC

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