Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data by J. Nathan Kutz (2013-09-15)

Data-Driven Modeling and Scientific Computation is a comprehensive guide to practical numerical solution techniques for ordinary and partial differential equations, as well as algorithms for data manipulation and analysis.

This book provides an in-depth look at the integration of standard scientific computing methods with data analysis, offering critical insight into data sets in various scientific fields.

With a focus on MATLAB implementation, this text is perfect for both undergraduate and graduate students in scientific computing, providing an accessible introduction to advanced techniques.

Don't miss out on this valuable resource for unlocking the secrets of your data!