Additional information
by James Foadi (Author)
Computational Physics with R provides a comprehensive introduction to computational methods in physics, designed for students and researchers who wish to use R as their primary programming environment. While computational physics is often taught with languages such as C++, Python, or Fortran, this book fills a unique gap by adopting R, a language widely known for statistical computing and data visualisation, and demonstrating its effectiveness in tackling core problems in physics. The book adopts a strongly pedagogical approach: it emphasizes step-by-step construction of algorithms, reproducible code, and guided exercises with fully worked solutions. The book is both a teaching resource and a reference for practical problem-solving in physics.
Key Features:
- First book on Computational Physics using the R programming language.
- The book can also be used as a thorough introduction to the R language for physicists.
- The book is accessible at an advanced undergraduate level.
- The book can be used both as introduction to fundamental Computational Physics and as reference to advanced Computational Physics.
- The book can be used as text book for a one- or two-semester courses on Computational Physics.
- Each section ends with a few recommended computing exercises and suggested computing projects. Solutions to both are included.
- Each chapter opens with learning objectives and closes with an end-of-chapter summary.
