Houman Owhadi, Clint Scovel

Gebundenes Buch

Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization

From a Game Theoretic Approach to Numerical Approximation and Algorithm Design

Beschreibung

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

Autor

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.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 488
• Erscheinungstermin: 5. Dezember 2019
• Englisch
• Abmessung: 248mm x 179mm x 27mm
• Gewicht: 1078g
• ISBN-13: 9781108484367
• ISBN-10: 1108484360
• Artikelnr.: 55300109