Optimizing the ensemble for equilibration in broad-histogram Monte Carlo simulations
| dc.creator | Trebst, Simon | |
| dc.creator | Huse, David A. | |
| dc.creator | Troyer, Matthias | |
| dc.date | 2004-01-12 | |
| dc.date | 2004-07-08 | |
| dc.date.accessioned | 2026-07-07T06:22:48Z | |
| dc.date.available | 2026-07-07T06:22:48Z | |
| dc.description | We present an adaptive algorithm which optimizes the statistical-mechanical ensemble in a generalized broad-histogram Monte Carlo simulation to maximize the system's rate of round trips in total energy. The scaling of the mean round-trip time from the ground state to the maximum entropy state for this local-update method is found to be O([N log N]^2) for both the ferromagnetic and the fully frustrated 2D Ising model with N spins. Our new algorithm thereby substantially outperforms flat-histogram methods such as the Wang-Landau algorithm. | |
| dc.description | 6 pages, 5 figures | |
| dc.identifier | https://arxiv.org/abs/cond-mat/0401195 | |
| dc.identifier | http://arxiv.org/abs/cond-mat/0401195 | |
| dc.identifier | Phys. Rev. E 70, 046701 (2004). | |
| dc.identifier | doi:10.1103/PhysRevE.70.046701 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/96021 | |
| dc.subject | Statistical Mechanics | |
| dc.title | Optimizing the ensemble for equilibration in broad-histogram Monte Carlo simulations | |
| dc.type | text |