Harmonic and Applied Analysis | From Radon Transforms to Machine Learning

Filippo De Mari (u. a.)

ISBN 10: 3030866661 / ISBN 13: 9783030866662

Published by Springer, 2022

About this Item

Harmonic and Applied Analysis | From Radon Transforms to Machine Learning | Filippo De Mari (u. a.) | Taschenbuch | Applied and Numerical Harmonic Analysis | xv | Englisch | 2022 | Springer | EAN 9783030866662 | Verantwortliche Person für die EU: Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 125821793

Bibliographic Details

• Title: Harmonic and Applied Analysis | From Radon Transforms to Machine Learning
• Publisher: Springer
• Publication Date: 2022
• Language: English
• ISBN 10: 3030866661
• ISBN 13: 9783030866662
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 18D millimeters 235 millimeters width by 155 millimeters height by 18 millimeters depth
• Weight: 487 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.