Avoiding Boundary Effects in Wang-Landau Sampling
arXiv:cond-mat/0302123 · doi:10.1103/PhysRevE.67.067102
Abstract
A simple modification of the ``Wang-Landau sampling'' algorithm removes the systematic error that occurs at the boundary of the range of energy over which the random walk takes place in the original algorithm.
3 pages, Latex, 2 Figures
References in corpus (3)
Cited by in corpus (46)
- Understanding and Improving the Wang-Landau Algorithm
- Wang-Landau algorithm for continuous models and joint density of states
- Convergence and Refinement of the Wang-Landau Algorithm
- Monte Carlo studies of the square Ising model with next-nearest-neighbor interactions
- Optimal Modification Factor and Convergence of the Wang-Landau Algorithm
- Phase transitions and anomalous normal state in superconductors with broken time reversal symmetry
- Estimation of critical behavior from the density of states in Classical Statistical Models
- First-order transition features of the 3D bimodal random-field Ising model
- Large-deviation properties of the largest biconnected component for random graphs
- Improving Wang-Landau sampling with adaptive windows
- Structure and phase behavior of colloidal dumbbells with tunable attractive interactions
- Computing the phase diagram of binary mixtures: a patchy particle case study
- Massively parallel multicanonical simulations
- Multicanonical MCMC for Sampling Rare Events
- Quenched bond randomness in marginal and non-marginal Ising spin models in 2D
- Study of first-order interface localization-delocalization transition in thin Ising-films using Wang-Landau sampling
- Wang-Landau study of the critical behaviour of the bimodal 3D-Random Field Ising Model
- A mapping space Odyssey: characterising the statistical and metric properties of reduced representations of macromolecules
- Universality aspects of the 2d random-bond Ising and 3d Blume-Capel models
- First-order transition features of the triangular Ising model with nearest- and next-nearest-neighbor antiferromagnetic interactions
- Sampling the two-dimensional density of states g(E,M) of a giant magnetic molecule using the Wang-Landau method
- Two-dimensional lattice polymers: adaptive windows simulations
- Complete high-precision entropic sampling
- Crossover from First to Second-Order Transition in Frustrated Ising Antiferromagnetic Films
- Macroscopically constrained Wang-Landau method for systems with multiple order parameters and its application to drawing complex phase diagrams
- Convex Hulls of Random Walks in Higher Dimensions: A Large Deviation Study
- Density of states of a two dimensional XY model from Wang-Landau algorithm
- Large peaks in the entropy of the diluted nearest-neighbor spin-ice model on the pyrochlore lattice in a [111] magnetic field
- Universal features and tail analysis of the order-parameter distribution of the two-dimensional Ising model: An entropic sampling Monte Carlo study
- Yang-Lee Zeros of the Triangular Ising Antiferromagnets
- Thermodynamic properties and correlation functions of Ar films on the surface of a bundle of nanotubes
- The Random-Bond Ising Model and its dual in Hyperbolic Spaces
- Thermal destruction of chiral order in a two-dimensional model of coupled trihedra
- A new comprehensive study of the 3D random-field Ising model via sampling the density of states in dominant energy subspaces
- Flat Energy-Histogram Simulation of the Phase Transition in an Ising Fully Frustrated Lattice
- The density of states of classical spin systems with continuous degrees of freedom
- Dynamically Optimized Wang-Landau Sampling with Adaptive Trial Moves and Modification Factors
- Entropy of unimodular Lattice Triangulations
- Large-deviations of the SIR model around the epidemic threshold
- Perturbation method to calculate the density of states
- Applying the Wang-Landau Algorithm to Lattice Gauge Theory
- Flat histogram method comparison on 2D Ising Model
- Stochastic Approximation Monte Carlo with a Dynamic Update Factor
- Performance of Wang-Landau algorithm in lattice model of liquid crystals
- Efficient implementation of the Wang-Landau algorithm for systems with length-scalable potential energy functions
- How to calculate quantum quench distributions with a weighted Wang-Landau Monte Carlo