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Journal of Functional Analysis, 2021, Volume 280, Pages 108885–37
DOI: https://doi.org/10.1016/j.jfa.2020.108885 (Mi jfua3) 		 
This article is cited in 10 scientific papers (total in 10 papers)

Lebesgue-type inequalities in greedy approximation

S. Dilwortha, G. Garrigósb, E. Hernándezc, D. Kutzarovade, V. Temlyakovafgh

a Department of Mathematics, University of South Carolina, Columbia, SC, USA
b Departamento de Matemáticas Universidad de Murcia, 30100 Murcia, Spain
c Departamento de Matemáticas, Universidad Autónoma de Madrid, 28049 Madrid, Spain
d Department of Mathematics, University of Illinois Urbana-Champaign, Urbana, IL 61807, USA
e Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria
f Steklov Institute of Mathematics, Moscow, Russia
g Lomonosov Moscow State University, Moscow, Russia
h Moscow Center for Fundamental and Applied Mathematics, Russia
Full-text PDF Citations (10)
DOI: https://doi.org/10.1016/j.jfa.2020.108885
Funding agency Grant number
Isaac Newton Institute for Mathematical Science
Engineering and Physical Sciences Research Council EP/K032208/1
Ministerio de Ciencia e Innovación de España MTM2016-76566-P
MTM2017-83262-C2-2-P
PID2019-105599GB-I00
PRX18/451
EU Framework Programme for Research and Innovation 777822
Simons Foundation 636954
Ministry of Education and Science of the Russian Federation 14.W03.31.0031
Fundación Séneca 20906/PI/18
The authors would like to thank the Isaac Newton Institute for Mathematical Sciences, Cambridge, for support and hospitality during the program Approximation, Sampling and Compression in Data Science where some work on this paper was undertaken; this work was supported by EPSRC grant no. EP/K032208/1. G.G. was supported in part by grants MTM2016-76566-P, MTM2017-83262-C2-2-P, PID2019-105599GB-I00 and Programa Salvador de Madariaga PRX18/451 from MICINN(Spain), and grant 20906/PI/18 from Fundacion Seneca (Region de Murcia, Spain). E.H. was supported by grants MTM2016-76566-P and PID2019-105599GB-I00 MICINN(Spain), and by the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 777822. D.K. was supported by Simons Foundation Collaborative Grant No. 636954. V.T. was supported by the Russian Federation Government Grant No. 14.W03.31.0031.
Received: 30.09.2019
Accepted: 15.11.2020
Bibliographic databases:
Document Type: Article
Language: English
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