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Computational Physics I - PHYS 3500K
1. Hello Whimsical World of Pythonic Physics!
2. To err is human, to really foul things up requires a computer!
3. Randomness and Random Walks
4. Numerical Differentiation and Integration
5. Monte Carlo Methods
6. Matrix Computing, Trial-and-Error Searching and Data Fitting
7. Ordinary Differential Equations
8. An Introduction to Nonlinear Dynamics and Chaos
9. Boundary Value and Eigenvalue Problems
10. Partial Differential Equations
11. More Monte Carlo: The Metropolis Algorithm
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