Reproducing Kernel Methods for Machine Learning, PDEs, and Statistics - Brossura

LeFloch, Philippe G.; Mercier, Jean-Marc; Miryusupov, Shohruh

 
9781611979169: Reproducing Kernel Methods for Machine Learning, PDEs, and Statistics
Brossura
ISBN 10: 1611979161 ISBN 13: 9781611979169
Casa editrice: Society for Industrial & Applied Mathematics,U.S., 2026

Sinossi

This monograph develops a unified, application-driven framework for kernel methods grounded in reproducing kernel Hilbert spaces and optimal transport. The primary goal is to tackle industrial cases from computational physics and mathematical finance and discuss applications across various areas, such as statistics, or artificial intelligence (physics-informed systems, reinforcement learning, machine learning, generative methods, etc.).

Reproducing Kernel Methods for Machine Learning, PDEs, and Statistics is divided into two parts, theoretical principles and the techniques employed in their applications; contains numerous applications in engineering, finance, and machine learning; and provides a framework for designing numerically efficient, large-scale dataset strategies.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Editore
Society for Industrial & Applied Mathematics,U.S.
Data di pubblicazione
2026
Lingua
Inglese
ISBN 10 
1611979161
ISBN 13 
9781611979169
Rilegatura
Copertina flessibile
Numero di pagine
169
Contatto del produttore
non disponibile
Persona responsabile
non disponibile