Computational Physics (Chong)
- Page ID
- 34507
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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