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Harmonic and Applied Analysis

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Harmonic and Applied Analysis

From Radon Transforms to Machine Learning

Filippo De Mari, Ernesto De Vito

Birkhäuser
Collection: Applied and Numerical Harmonic Analysis
Publication date : 2021-12-13

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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.

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About the book

Author

Filippo De Mari , Ernesto De Vito

Imprint

Birkhäuser

Collection

Applied and Numerical Harmonic Analysis

Publication date

2021-12-13

Pages

302 pages

Print ISBN

9783030866631

Language

English

Ebook informations

EAN PDF

9783030866648

Price

£109.50

Copy count 3

Print count 30

File size 4352 Ko

Informations accessibility

EAN EPUB

9783030866648

Price

£109.50

Copy count 3

Print count 30

File size 28396 Ko

Informations accessibility

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About author(s)

Filippo De Mari

Ernesto De Vito

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