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20182021
most citedQuantitative results on the multi-parameters Proximal Point Algorithm

3 citations · 4 across the 3 of their papers we have counts for

collaborators

8 papers

math.FA2021

Quantitative translations for viscosity approximation methods in hyperbolic spaces

Ulrich Kohlenbach, Pedro Pinto

In the setting of hyperbolic spaces, we show that the convergence of Browder-type sequences and Halpern iterations respectively entail the convergence of their viscosity version wi…

math.FA20211 cited

Effective metastability for a method of alternating resolvents

Bruno Dinis, Pedro Pinto

A generalized method of alternating resolvents was introduced by Boikanyo and Moro{\c s}anu as a way to approximate common zeros of two maximal monotone operators. In this paper we…

math.FA2020

On the convergence of algorithms with Tikhonov regularization terms

Bruno Dinis, Pedro Pinto

We consider the strongly convergent modified versions of the Krasnosel'ski\uı-Mann, the forward-backward and the Douglas-Rachford algorithms with Tikhonov regularization terms, int…

math.OC2020

Quantitative results on a Halpern-type proximal point algorithm

Laurentiu Leustean, Pedro Pinto

We apply proof mining methods to analyse a result of Boikanyo and Moroşanu on the strong convergence of a Halpern-type proximal point algorithm. As a consequence, we obtain quantit…

math.FA2019

A rate of metastability for the Halpern type Proximal Point Algorithm

Pedro Pinto

Using proof-theoretical techniques, we analyze a proof by H.-K. Xu regarding a result of strong convergence for the Halpern type proximal point algorithm. We obtain a rate of metas…

math.FA20193 cited

Quantitative results on the multi-parameters Proximal Point Algorithm

Bruno Dinis, Pedro Pinto

We give a quantitative analysis of a theorem due to Fenghui Wang and Huanhuan Cui concerning the convergence of a multi-parametric version of the proximal point algorithm. Wang and…