Computational Physics
eBook - PDF

Computational Physics

Problem Solving with Python

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Computational Physics

Problem Solving with Python

About this book

The classic in the field for more than 25 years, now with increased emphasis on data science and new chapters on quantum computing, machine learning (AI), and general relativity

Computational physics combines physics, applied mathematics, and computer science in a cutting-edge multidisciplinary approach to solving realistic physical problems. It has become integral to modern physics research because of its capacity to bridge the gap between mathematical theory and real-world system behavior.

Computational Physics provides the reader with the essential knowledge to understand computational tools and mathematical methods well enough to be successful. Its philosophy is rooted in "learning by doing", assisted by many sample programs in the popular Python programming language. The first third of the book lays the fundamentals of scientific computing, including programming basics, stable algorithms for differentiation and integration, and matrix computing. The latter two-thirds of the textbook cover more advanced topics such linear and nonlinear differential equations, chaos and fractals, Fourier analysis, nonlinear dynamics, and finite difference and finite elements methods. A particular focus in on the applications of these methods for solving realistic physical problems.

Readers of the fourth edition of Computational Physics will also find:

  • An exceptionally broad range of topics, from simple matrix manipulations to intricate computations in nonlinear dynamics
  • A whole suite of supplementary material: Python programs, Jupyter notebooks and videos

Computational Physics is ideal for students in physics, engineering, materials science, and any subjects drawing on applied physics.

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Yes, you can access Computational Physics by Rubin H. Landau,Manuel J. Páez,Cristian C. Bordeianu in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Contents
  5. Preface
  6. Acknowledgments
  7. Part I Basics
  8. Part II Data Science
  9. Part III Applications
  10. Part IV PDE Applications
  11. Appendix Codes and Animations
  12. References
  13. Index
  14. EULA