activity
20162026
most citedThe weighted Property (A) and the greedy algorithm

4 citations · 5 across the 7 of their papers we have counts for

collaborators

13 papers

math.FA2026

Isometric renormings for greedy bases in Banach spaces, with applications to the Haar System in ,

Fernando Albiac, José L. Ansorena, Miguel Berasategui +1

We investigate the problem of improving the greedy-type constant of a basis by means of an equivalent renorming of the ambient Banach space. Our main result shows that if a Banach…

math.FA2023

On sequential greedy-type bases

Miguel Berasategui, Pablo M. Berná, Hung Viet Chu

It is known that a basis is almost greedy if and only if the thresholding greedy algorithm gives essentially the smallest error term compared to errors from projections onto interv…

math.FA2021★ 1 cited

Weaker forms of unconditionality of bases in greedy approximation

Fernando Albiac, Jose L. Ansorena, Miguel Berasategui +2

In this paper we study a new class of bases, weaker than quasi-greedy bases, which retain their unconditionality properties and can provide the same optimality for the thresholding…

math.FA2021

Bidemocratic bases and their connections with other greedy-type bases

Fernando Albiac, Jose L. Ansorena, Miguel Berasategui +2

In nonlinear greedy approximation theory, bidemocratic bases have traditionally played the role of dualizing democratic, greedy, quasi-greedy, or almost greedy bases. In this artic…

math.FA2021

New parameters and Lebesgue-type estimates in greedy approximation

Fernando Albiac, Jose L. Ansorena, Pablo M. Berna

The purpose of this paper is to quantify the size of the Lebesgue constants associated with the thresholding greedy algorithm in terms of a new generation of…

math.FA2020

Strong partially greedy bases and Lebesgue-type inequalities

Miguel Berasategui, Pablo M. Berná, Silvia Lassalle

In this paper we continue the study of Lebesgue-type inequalities for greedy algorithms. We introduce the notion of strong partially greedy Markushevich bases and study the Lebesgu…