Harmonic and applied analysis [Documento eletrónico] : from radon transforms to machine learning ; edited by Filippo De Mari, Ernesto De Vito
Language: eng.Country: Switzerland, Swiss Confederation.Publication: Cham : Birkhäuser, 2021Description: XV, 302 p. : il.ISBN: 978-3-030-86664-8.Series: Applied and numerical harmonic analysisSubject - Topical Name: Harmonic analysis | Geometry, Differential | Mathematical optimization | Artificial intelligence -- Data processing | Signal processing Online Resources:Click here to access onlineItem type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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E-Books | Biblioteca NOVA FCT Online | Não Ficção | QA403.SPR FCT (Browse shelf(Opens below)) | 1 | Available | 97132 |
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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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