Fecha: Martes 28 de Noviembre de 2023

Hora: 14:30

Expositor: Juan José Maulen


In this presentation, I will provide an overview of my thesis work conducted under the supervision of Professors Juan Peypouquet and Aris Daniilidis. It is focused on the study of the convergence and
performance of optimization algorithms combining acceleration and stabilization mechanisms. In particular, we focus on two techniques: a restart scheme for a continuous dynamics, and the inclusion of inertia
in Krasnoselskii-Mann iterations. The motivation of these aprroaches comes from the study of Nesterov’s accelerated gradient algorithm, considering its discrete and continuous settings.

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ID de reunión: 988 3109 9075
Código de acceso: 749598