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Reproducing Kernel Methods for Machine Learning, PDEs, and Statistics - Tapa blanda

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

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

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

P.G. LeFloch is a research professor at the Laboratoire Jacques-Louis Lions, Sorbonne University, and at the Centre National de la Recherche Scientifique (CNRS).

J.-M. Mercier and S. Miryusupov are permanent researchers at the financial compan MPG Partners, based in Paris.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Society for Industrial & Applied Mathematics,U.S.
Año de publicación
2026
Idioma
Inglés
ISBN 10 
1611979161
ISBN 13 
9781611979169
Encuadernación
Tapa blanda
Número de páginas
169
Contacto del fabricante
no disponible
Persona responsable
no disponible