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Related papers: On Approximation Spaces and Greedy-type Bases

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We study greedy approximation in uniformly smooth Banach spaces. The Weak Chebyshev Greedy Algorithm (WCGA) is defined for any Banach space $X$ and a dictionary $\mathcal{D}$, and provides nonlinear $n$-term approximation with respect to…

Numerical Analysis · Mathematics 2021-06-07 A. V. Dereventsov

Chebyshev Greedy Algorithm is a generalization of the well known Orthogonal Matching Pursuit defined in a Hilbert space to the case of Banach spaces. We apply this algorithm for constructing sparse approximate solutions (with respect to a…

Machine Learning · Statistics 2013-12-05 Vladimir Temlyakov

For Schauder bases, Dilworth et al. introduced and characterized the partially greedy property, which is strictly weaker than the (almost) greedy property. Later, Berasategui et al. defined and studied the strong partially greedy property…

Functional Analysis · Mathematics 2024-05-14 Hung Viet Chu

It is known that for a conditional quasi-greedy basis $\mathcal{B}$ in a Banach space $\mathbb{X}$, the associated sequence $(k_{m}[\mathcal{B}])_{m=1}^{\infty}$ of its conditionality constants verifies the estimate…

Functional Analysis · Mathematics 2017-12-13 Fernando Albiac , José L. Ansorena

We establish estimates for the Lebesgue parameters of the Chebyshev Weak Thresholding Greedy Algorithm in the case of general bases in Banach spaces. These generalize and slightly improve earlier results in [9], and are complemented with…

Functional Analysis · Mathematics 2018-11-13 Pablo M. Berná , Oscar Blasco , Gustavo Garrigós , Eugenio Hernández , Timur Oikhberg

Garling sequence spaces admit a renorming with respect to which their standard unit vector basis is 1-greedy. We also discuss some additional properties of these Banach spaces related to uniform convexity and superreflexivity. In…

Functional Analysis · Mathematics 2017-05-12 Fernado Albiac , José L. Ansorena , Ben Wallis

The purpose of this paper is to quantify the size of the Lebesgue constants $(L_m)_{m=1}^{\infty}$ associated with the thresholding greedy algorithm in terms of a new generation of parameters that modulate accurately some features of a…

Functional Analysis · Mathematics 2021-04-23 Fernando Albiac , Jose L. Ansorena , Pablo M. Berna

The goal of this paper is to study the performance of the Thresholding Greedy Algorithm (TGA) when we increase the size of greedy sums by a constant factor $\lambda\geqslant 1$. We introduce the so-called $\lambda$-almost greedy and…

Functional Analysis · Mathematics 2023-02-13 Hung Viet Chu

We shall present a new characterization of greedy bases and 1-greedy bases in terms of certain functionals defined using distances to one dimensional subspaces generated by the basis. We also introduce a new property that unifies the…

Functional Analysis · Mathematics 2016-04-26 Pablo M. Berná , Óscar Blasco

The main results in this paper contribute to bring to the fore novel underlying connections between the contemporary concepts and methods springing from greedy approximation theory with the well established techniques of classical Banach…

Functional Analysis · Mathematics 2023-05-23 Fernando Albiac , Jose L. Ansorena , Miguel Berasategui

Given a Banach space X and one of its compact sets F, we consider the problem of finding a good n dimensional space X_n \subset X which can be used to approximate the elements of F. The best possible error we can achieve for such an…

Functional Analysis · Mathematics 2012-04-12 Ronald DeVore , Guergana Petrova , Przemyslaw Wojtaszczyk

The fact that finite direct sums of two or more mutually different spaces from the family $\{\ell_{p} : 1\le p<\infty\}\cup c_{0}$ fail to have greedy bases is stated in [Dilworth et al., Greedy bases for Besov spaces, Constr. Approx. 34…

Functional Analysis · Mathematics 2014-01-21 Fernando Albiac , José L. Ansorena

We show that for quasi-greedy bases in real Banach spaces the error of the thresholding greedy algorithm of order N is bounded by the best N-term error of approximation times a constant which depends on the democracy functions and the…

Functional Analysis · Mathematics 2011-11-17 Eugenio Hernández

We continue the study initiated in [F. Albiac and P. Wojtaszczyk, Characterization of $1$-greedy bases, J. Approx. Theory 138 (2006), no. 1, 65-86] of properties related to greedy bases in the case when the constants involved are sharp,…

Functional Analysis · Mathematics 2023-04-13 Fernando Albiac , Jose L. Ansorena , Oscar Blasco , Hung Viet Chu , Timur Oikhberg

It is known that for a conditional quasi-greedy basis $\mathcal{B}$ in a Banach space $\mathbb{X}$, the associated sequence $(k_{m}[\mathcal{B}])_{m=1}^{\infty}$ of its conditionality constants verifies the estimate…

Functional Analysis · Mathematics 2018-03-23 Fernando Albiac , Jose L. Ansorena , Stephen Dilworth , Denka Kutzarova

Our aim is to investigate the properties of existence and uniqueness of greedy bases in Banach spaces. We show the non-existence of greedy basis in some Nakano spaces and Orlicz sequence spaces and produce the first-known examples of…

Functional Analysis · Mathematics 2015-06-01 F. Albiac , J. L. Ansorena , S. J. Dilworth , Denka Kutzarova

We prove some results on the rate of convergence of greedy algorithms, which provide expansions. We consider both the case of Hilbert spaces and the more general case of Banach spaces. The new ingredient of the paper is that we bound the…

Numerical Analysis · Mathematics 2023-04-14 V. N. Temlyakov

We present new results regarding Lebesgue-type inequalities for the Weak Chebyshev Greedy Algorithm (WCGA) in uniformly smooth Banach spaces. We improve earlier bounds in Temlyakov (Forum Math Sigma 2014), for dictionaries satisfying a new…

Functional Analysis · Mathematics 2019-10-01 Stephen Dilworth , Gustavo Garrigos , Eugenio Hernandez , Denka Kutzarova , Vladimir Temlyakov

In this paper we propose a unified way of analyzing a certain kind of greedy-type algorithms in Banach spaces. We define a class of the Weak Biorthogonal Greedy Algorithms that contains a wide range of greedy algorithms. In particular, we…

Numerical Analysis · Mathematics 2021-06-07 Anton Dereventsov , Vladimir Temlyakov

This paper is a follow up to the previous author's paper on convex optimization. In that paper we began the process of adjusting greedy-type algorithms from nonlinear approximation for finding sparse solutions of convex optimization…

Machine Learning · Statistics 2012-06-05 V. N. Temlyakov