Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization: From a Game Theoretic Approach to Numerical Approximation and Algorithm Design - Couverture rigide

Owhadi, Houman; Scovel, Clint

Couverture rigide

ISBN 10 : 1108484360 ISBN 13 : 9781108484367

Editeur : Cambridge University Press, 2019

Synopsis

Presents interplays between numerical approximation and statistical inference as a pathway to simple solutions to fundamental problems.

A propos du livre

À propos des auteurs

Houman Owhadi is Professor of Applied and Computational Mathematics and Control and Dynamical Systems in the Computing and Mathematical Sciences department at the California Institute of Technology. He is one of the main editors of the Handbook of Uncertainty Quantification (2016). His research interests concern the exploration of interplays between numerical approximation, statistical inference and learning from a game theoretic perspective, especially the facilitation/automation possibilities emerging from these interplays.

Clint Scovel is a Research Associate in the Computing and Mathematical Sciences department at the California Institute of Technology, after a twenty-six-year career at Los Alamos National Laboratory, including foundational research in symplectic algorithms and machine learning. He received his Ph.D. in mathematics from the Courant Institute of Mathematics at New York University in 1983. He currently works on uncertainty quantification, Bayesian methods, incorporating computational complexity in Wald's statistical decision theory, operator adapted wavelets and fast solvers.

Détails de l'édition

• Éditeur: Cambridge University Press
• Date d'édition: 2019
• Langue: anglais
• ISBN 10: 1108484360
• ISBN 13: 9781108484367
• Reliure: Relié
• Nombre de pages: 488
• Coordonnées du fabricant: non disponible
• Personne responsable: Avery; https://www.avery.fr/; ; chemin des peupliers 27; Dardilly; France