# Computational Physics (Chong)

- Page ID
- 34507

An introductory course in computational physics for upper-level undergraduates. Topics covered include numerical linear algebra, eigenvalue problems, sparse matrix problems, numerical integration and initial-value problems, Fourier transforms, and Monte Carlo simulations. Programming examples are based on Scientific Python.

- Front Matter
- 1: Scipy Tutorial
- 2: Scipy Tutorial (Part 2)
- 3: Numbers, Arrays, and Scaling
- 4: Numerical Linear Algebra
- 5: Gaussian Elimination
- 6: Eigenvalue Problems
- 7: Finite-Difference Equations
- 8: Sparse Matrices
- 9: Numerical Integration
- 10: Numerical Integration of ODEs
- 11: Discrete Fourier Transforms
- 12: Markov Chains
- 13: The Markov Chain Monte Carlo Method
- Back Matter