Dynamic Canonical and Microcanonical Transition Matrix Analyses of Critical Behavior
arXiv:1612.08568 · doi:10.1140/epjb/e2017-70747-x
Abstract
By monitoring the sampling of states with different magnetizations in transition matrix procedures a family of accurate and easily implemented techniques are constructed that automatically control the variation of the temperature or energy as the calculation proceeds. The accuracy of the method for a single Markov chain exceeds that of standard transition matrix procedures that accumulate elements from multiple chains.
arXiv comment17 pagess 10 figures
References in corpus (15)
- An efficient, multiple range random walk algorithm to calculate the density of states
- Multicanonical Ensemble: A New Approach to Simulate First-order Phase Transitions
- Determining the density of states for classical statistical models: A random walk algorithm to produce a flat histogram
- Molecular structural order and anomalies in liquid silica
- Fast Algorithm to Calculate Density of States
- Transition Matrix Monte Carlo Method
- Transition Matrix Monte Carlo Reweighting and Dynamics
- Algorithmic aspects of multicanonical simulations
- Broad Histogram Monte Carlo
- Optimal Modification Factor and Convergence of the Wang-Landau Algorithm
- Transition Matrix Monte Carlo Method
- Computer simulation of two continuous spin models using Wang-Landau-Transition-Matrix Monte Carlo Algorithm
- Introduction to Multicanonical Monte Carlo Simulations
- Accelerated rare event sampling
- Renormalized Multicanonical Sampling
Cited by in corpus (6)
- Variational Autoencoder Analysis of Ising Model Statistical Distributions and Phase Transitions
- Conservation Laws and Spin System Modeling through Principal Component Analysis
- A Projected Entropy Controller for Transition Matrix Calculations
- A Cluster Controller for Transition Matrix Calculations
- Accuracy and Efficiency of Simplified Tensor Network Codes
- Transition Matrix Cluster Algorithms