Data-Driven Computational Methods

Discover the essential principles of data-driven computational methods in "Data-Driven Computational Methods" by John Harlim, published by Cambridge University Press in 2018. This insightful hardback edition spans 168 pages and provides a comprehensive exploration of the mathematics and practical applications of computational methods that utilize data for modeling dynamical systems.

Perfect for graduate students in applied mathematics, statistics, and engineering, this book guides readers through the process of fitting data to an assumed model and using that data to uncover the underlying model. Enhance your understanding of how data can inform and improve computational methods with this valuable resource. Dive into the world of data-driven methodologies and empower your analytical skills today!