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Computational Physics I - PHYS 3500K
1. Making Computers Obey
2. Computer Number Representations
3. Deterministic Randomness
6. Numerical Differentiation
10. Monte Carlo Methods
11. Matrix Computing, Trial-and-Error Searching and Data Fitting
12. Ordinary Differential Equations
13. An Introduction to Nonlinear Dynamics and Chaos
14. Boundary Value and Eigenvalue Problems
15. Partial Differential Equations
16. More Monte Carlo: The Metropolis Algorithm
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