activity
20182026
most citedMetastability of the proximal point algorithm with multi-parameters

63 citations · 81 across the 10 of their papers we have counts for

collaborators

13 papers

math.PR2026

Quantitative limit theorems for generalized Pólya urns with applications to random tree models

Morenikeji Neri, Pedro Pinto

We establish novel quantitative limit theorems for the asymptotic distribution of colours in a generalized Pólya urn. Concretely, we construct explicit rates of convergence for the…

math.OC2023

On the finitary content of Dykstra's cyclic projections algorithm

Pedro Pinto

We study the asymptotic behaviour of the well-known Dykstra's algorithm through the lens of proof-theoretical techniques. We provide an elementary proof for the convergence of Dyks…

math.AP2023

On computational properties of Cauchy problems generated by accretive operators

Pedro Pinto, Nicholas Pischke

In this paper, we provide quantitative versions of results on the asymptotic behavior of nonlinear semigroups generated by an accretive operator due to O. Nevanlinna and S. Reich a…

math.OC2022★ 1 cited

Rates of asymptotic regularity for the alternating Halpern-Mann iteration

Laurentiu Leustean, Pedro Pinto

In this paper we extend to -hyperbolic spaces the quantitative asymptotic regularity results for the alternating Halpern-Mann iteration obtained by Dinis and the second author…

math.FA2021★ 2 cited

Strong convergence for the alternating Halpern-Mann iteration in CAT(0) spaces

Bruno Dinis, Pedro Pinto

In this paper we consider, in the general context of CAT(0) spaces, an iterative schema which alternates between Halpern and Krasnoselskii-Mann style iterations. We prove, under su…

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.FA2021★ 1 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★ 11 cited

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.FA2019★ 3 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…

math.LO2019★ 63 cited

Metastability of the proximal point algorithm with multi-parameters

Bruno Dinis, Pedro Pinto

In this article we use techniques of proof mining to analyse a result, due to Yonghong Yao and Muhammad Aslam Noor, concerning the strong convergence of a generalized proximal poin…

math.LO2018

On the removal of weak compactness arguments in proof mining

Fernando Ferreira, Laurentiu Leustean, Pedro Pinto

The main observation of this paper is that some sequential weak compactness arguments in Hilbert space theory can be replaced by Heine/Borel compactness arguments (for the strong t…