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Course Material
- Linux and Fortran notes (txt),
Fortran 77 manual (pdf).
- Overview lecture (pdf),
Lecture 1: Marsaglia random numbers (pdf),
- Lecture 2: Statistics I (pdf),
Lecture 3: Statistics II (pdf).
- Lecture 4: MCMC I (pdf),
Lecture 5: Statistics Jackknife (pdf).
- Lecture 6: MCMC II (pdf),
Lecture 7: MCMC III (pdf).
- Lecture 8: Kolmogorov Axioms and
Conditional Probabilities (pdf),
- Lecture 9: MPI Basics (pdf),
Lecture 10: Generalized Ensembles (pdf).
- Lecture 11: Parallel Tempering with MPI (pdf),
Lecture 12: Multicanonical .
- Gaussian CDF: Updated a0106_02 (tgz),
MUCA pictureshow .
Back to MCMC main page.
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