会议论文详细信息
29th Workshop on Recent Developments in Computer Simulation Studies in Condensed Matter Physics | |
Magnitude of the Wang-Landau error | |
物理学;计算机科学 | |
Brown, Gregory^1 ; Rikvold, Pa^1 ; Odbadrakh, Kh^2 ; Nicholson, Dm^3 | |
Department of Physics, Florida State University, Tallahassee | |
FL | |
32306, United States^1 | |
Joint Institute for Computational Sciences at ORNL, University of Tennessee, Oak Ridge | |
TN | |
37831, United States^2 | |
Department of Physics, University of North Carolina Asheville, Asheville | |
NC | |
28804, United States^3 | |
关键词: Density of state; Entropic sampling; Random Walk; Self-avoidance; Steady state; True density; Wang-Landau algorithm; | |
Others : https://iopscience.iop.org/article/10.1088/1742-6596/750/1/012015/pdf DOI : 10.1088/1742-6596/750/1/012015 |
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学科分类:计算机科学(综合) | |
来源: IOP | |
【 摘 要 】
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 fileads 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.
【 预 览 】
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