Magnitude of the Wang-Landau error
Abstract
The Wang-Landau algorithm is an entropic sampling method that incoroporates an update factor ln fi , which introduces a self-avoidance tendency into the random walk. Continued sampling at constant ln fi leads to a steady state estimate of the density of states ln gi (E). We find numerically that the difference between ln gi (E) and the true density of states ln g (E) is proportional to the update factor.
- Publication:
-
Journal of Physics Conference Series
- Pub Date:
- September 2016
- DOI:
- 10.1088/1742-6596/750/1/012015
- Bibcode:
- 2016JPhCS.750a2015B