Sparse recovery in bounded Riesz systems with applications to numerical methods for PDEs-Reference-Cited by-同舟云学术

Sparse recovery in bounded Riesz systems with applications to numerical methods for PDEs

Published:2021-07 Issue: Volume:53 Page:231-269
ISSN:1063-5203
Container-title:Applied and Computational Harmonic Analysis
language:en
Short-container-title:Applied and Computational Harmonic Analysis

Author:

Brugiapaglia Simone,Dirksen Sjoerd,Jung Hans Christian,Rauhut Holger^ORCID

Funder

DFG

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference52 articles.

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2. Correcting for unknown errors in sparse high-dimensional function approximation;Adcock;Numer. Math.,2019

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4. Breaking the Coherence Barrier: A New Theory for Compressed Sensing;Adcock,2017

5. Infinite dimensional compressed sensing from anisotropic measurements and applications to inverse problems in PDE;Alberti;Appl. Comput. Harmon. Anal.,2019

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