Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data

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 accessible introduction to advanced topics in scientific computing, fully integrating MATLAB and its versatile programming functionality.

With a focus on implementation of numerical schemes to practical problems in engineering, biological, and physical sciences, this text is ideal for both undergraduate and graduate students in scientific computing.