On the Determination of Lagrange Multipliers for a Weighted LASSO Problem Using Geometric and Convex Analysis Techniques.
Compressed Sensing
Convex optimization
LASSO
Lagrange duality
MRI
Tuning parameters
Journal
Applied mathematics and optimization
ISSN: 0095-4616
Titre abrégé: Appl Math Optim
Pays: United States
ID NLM: 9875919
Informations de publication
Date de publication:
2024
2024
Historique:
accepted:
12
12
2023
medline:
23
1
2024
pubmed:
23
1
2024
entrez:
23
1
2024
Statut:
ppublish
Résumé
Compressed Sensing (CS) encompasses a broad array of theoretical and applied techniques for recovering signals, given partial knowledge of their coefficients, cf. Candés (C. R. Acad. Sci. Paris, Ser. I
Identifiants
pubmed: 38261892
doi: 10.1007/s00245-023-10096-0
pii: 10096
pmc: PMC10794441
doi:
Types de publication
Journal Article
Langues
eng
Pagination
31Informations de copyright
© The Author(s) 2024.
Déclaration de conflit d'intérêts
Conflict of interestThe authors have not disclosed any competing interests.
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