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

Owhadi, Houman; Scovel, Clint

Rilegato

ISBN 10: 1108484360 ISBN 13: 9781108484367

Casa editrice: Cambridge University Press, 2019

Riassunto

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

Su questo libro

Informazioni sugli autori

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.

Dettagli dell'edizione

• Editore: Cambridge University Press
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 1108484360
• ISBN 13: 9781108484367
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 488
• Contatto del produttore: Cambridge University Press; https://www.cambridge.org/; ; Via Honduras,15; Pomezia; Italia; 71; Italia