Data-Driven Computational Methods: Parameter and Operator Estimations

by John Harlim

Modern scientific computational methods are undergoing a transformative change; big data and statistical learning methods now have the potential to outperform the classical first-principles modeling paradigm. This book bridges this transition, connecting the theory of probability, stochastic processes, functional analysis, numerical analysis, and differential geometry. It describes two classes of computational methods to leverage data for modeling...

• Format: Hardcover
• Language: English
• ISBN: 1108472478
• ISBN13: 9781108472470
• Release Date: August 2018
• Publisher: Cambridge University Press
• Length: 168 Pages
• Weight: 1.10 lbs.
• Dimensions: 0.6" x 7.1" x 10.0"