ABSTRACT
This textbook is a comprehensive introduction to computational mathematics and scientific computing suitable for undergraduate and postgraduate courses. It presents both practical and theoretical aspects of the subject, as well as advantages and pitfalls of classical numerical methods alongside with computer code and experiments in Python. Each chapter closes with modern applications in physics, engineering, and computer science.
Features:
- No previous experience in Python is required.
- Includes simplified computer code for fast-paced learning and transferable skills development.
- Includes practical problems ideal for project assignments and distance learning.
- Presents both intuitive and rigorous faces of modern scientific computing.
- Provides an introduction to neural networks and machine learning.
TABLE OF CONTENTS
part I|124 pages
Introduction to Scientific Computing with Python
part II|256 pages
Introduction to Computational Mathematics
part III|106 pages
Advanced Topics