Lectures: Difference between revisions
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== Lecture 7: Random Numbers, Random Walks, Monte Carlo, and all that == | == Lecture 7: Random Numbers, Random Walks, Monte Carlo, and all that == | ||
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== Lecture 8: Monte Carlo Simulations in Statistical Physics == | == Lecture 8: Monte Carlo Simulations in Statistical Physics == | ||
Revision as of 10:56, 5 February 2012
Lecture 1: Computation as a tool for discovery in physics
Lecture 2: Numerical methods for ordinary differential equations
- C. Moler, Numerical Computing with Matlab (SIAM, Philadelphia, 2004).
- W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery: Numerical Recipes: The Art of Scientific Computing (CUP, Cambridge, 2007).
Lecture 3: Introduction to deterministic chaos
- T. Tél and M. Gruiz, Chaotic Dynamics (CUP, Cambridge, 2006).
