Unmatched Preconditioning of the Proximal Gradient Algorithm

This work addresses the resolution of penalized least-squares problems using the proximal gradient algorithm (PGA). PGA can be accelerated by preconditioning strategies. However, typical effective choices of preconditioners may correspond to intricate matrices that are not easily inverted, leading t...

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Veröffentlicht in:	IEEE signal processing letters Jg. 29; S. 1122 - 1126
Hauptverfasser:	Savanier, Marion, Chouzenoux, Emilie, Pesquet, Jean-Christophe, Riddell, Cyril
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Schlagworte:	Algorithms Computed tomography Convergence convergence analysis Electronics packaging Engineering Sciences Image reconstruction Iterative methods Linear programming matrix approximation Measurement Preconditioning proximal methods Signal and Image processing Signal processing algorithms Matrix approximation Computed tomography Proximal methods Image reconstruction Convergence analysis
ISSN:	1070-9908, 1558-2361
Online-Zugang:	Volltext
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