This book provides an accessible introduction to computational physics, designed specifically for undergraduate students. Its purpose is to bridge the gap between theoretical physics and practical, computational approaches, equipping students with the tools and techniques needed to solve real-world physics problems through programming and numerical methods. This book’s approach is highly practical, with a strong emphasis on coding exercises and projects that encourage students to actively engage with the material. Examples and exercises are carefully chosen to reinforce learning, and each chapter provides step-by-step guidance to solve problems using computational tools. By the end of the book, readers will have a solid grounding in both computational skills and physics applications, preparing them for more advanced studies or professional work in physics, engineering, or related fields.
Key Features:
- Practical hands-on approach
- Truly introductory course, assumes no computing experience
- Extensive problems and exercises, with solutions, across science and engineering
- Perfect for taught courses or self-study
表中的内容
Preface
Acknowledgements
Author biographies
1 The Linux/Unix operating system
2 Text editors
3 The Fortran 90 programming language
4 Numerical techniques
5 Problem solving methodologies
6 Worksheet assignments
7 Homework assignments
Appendix A: Cubic spline Fortran code
Appendix B: Summary of modern Fortran features
Appendix C: Plotting using Python
Appendix D: Fortran 90 sample program illustrating good programming
关于作者
Omair Zubairi received his B.S. and M.S. in Physics from San Diego State University. He obtained his Ph.D. in Computational Science from Claremont Graduate University and San Diego State University where he primarily worked on compact star physics. Omair is currently an Assistant Professor of Physics at Wentworth Institute of Technology. His other research interests include general relativity, numerical astrophysics and computational methods and techniques. Omair is a dedicated educator in physics and computational science. He has taught students from all backgrounds in many areas of physics from the introductory sequence to upper division courses where he incorporates numerical methods and computational techniques into each course. “By allowing students to see and apply numerical simulations to various topics covered in lectures, they are able gain to invaluable insight into the problem at hand.”
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