From Werner KRAUTH

Here are the 4 lectures that I gave at the Bad Honnef Physics School Computational Physics of Complex and Disordered Systems directed by A. K. Hartmann and A. P. Young, in September 2015. A number of movies from my MOOC Statistical Mechanics-Algorithms and Computations were shown. These movies could not be included in the pdf files (although they show well during presentations).

Contents 1 1: Monte Carlo algorithms - basic notions 2 2: Hard disks: From detailed balance to global balance and to cluster algorithms 3 3: Integration and Sampling: From Gaussians to Maxwell and Boltzmann 4 4: Cluster algorithms for spin models

1: Monte Carlo algorithms - basic notions

Monte Carlo algorithms - basic notions (slides)

• Pebble transfer.py
• Pebble basic multirun.py
• Pebble transfer.py

2: Hard disks: From detailed balance to global balance and to cluster algorithms

Hard disks: From detailed balance to global balance and to cluster algorithms (movies missing)

• Event disks box.py
• Direct disks box.py
• Markov disks box.py
• Event chain.py

3: Integration and Sampling: From Gaussians to Maxwell and Boltzmann

Integration and Sampling: From Gaussians to Maxwell and Boltzmann (movies missing)

• Gauss test.py
• Gauss 3d.py
• Direct surface.py
• Direct sphere.py

4: Cluster algorithms for spin models

Cluster algorithms for spin models (movies missing)

• Enumerate ising.py
• Thermo ising.py
• Markov ising.py
• Cluster ising.py
• Heat bath ising.py