Harmonic and Applied Analysis

From Radon Transforms to Machine Learning de

,

Éditeur :

Birkhäuser


Collection :

Applied and Numerical Harmonic Analysis

Paru le : 2021-12-13

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Description
Deep connections exist between harmonic and applied analysis and the diverse yet connected topics of machine learning, data analysis, and imaging science.  This volume explores these rapidly growing areas and features contributions presented at the second and third editions of the Summer Schools on Applied Harmonic Analysis, held at the University of Genova in 2017 and 2019.  Each chapter offers an introduction to essential material and then demonstrates connections to more advanced research, with the aim of providing an accessible entrance for students and researchers.  Topics covered include ill-posed problems; concentration inequalities; regularization and large-scale machine learning; unitarization of the radon transform on symmetric spaces; and proximal gradient methods for machine learning and imaging.  
Pages
302 pages
Collection
Applied and Numerical Harmonic Analysis
Parution
2021-12-13
Marque
Birkhäuser
EAN papier
9783030866631
EAN PDF
9783030866648

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
4352 Ko
Prix
126,59 €
EAN EPUB
9783030866648

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
28396 Ko
Prix
126,59 €