Computational Chemistry 3.11 - Metropolis Monte Carlo
Short lecture the Metropolis Monte Carlo algorithm for molecular properties.
Monte Carlo methods can approximate molecular properties, but is highly inefficient, as the number of points necessary becomes enormous very quickly. Metropolis Monte Carlo improves this by rejecting very high energy structures, and focusing the simulation towards structures which contribute strongly to the partition function.
Notes Slide: http://i.imgur.com/WvD7mWf.png
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