Convergence of stochastic approximation Monte Carlo and modified Wang-Landau algorithms: tests for the Ising model

DOI10.1016/J.CPC.2017.02.002zbMath1411.65175arXiv1702.00752OpenAlexW2587710278MaRDI QIDQ2414426

Simon Schneider, Wolfhard Janke, Marco K. Müller

Publication date: 13 May 2019

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1702.00752

zbMATH Keywords

Ising modelWang-Landau algorithmSAMC

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Lattice systems (Ising, dimer, Potts, etc.) and systems on graphs arising in equilibrium statistical mechanics (82B20) Complexity and performance of numerical algorithms (65Y20)

Cites Work

• A theory on flat histogram Monte Carlo algorithms
• Beitrag zur Theorie des Ferromagnetismus
• Stochastic Approximation in Monte Carlo Computation
• Stability of Stochastic Approximation under Verifiable Conditions
• Crystal Statistics. II. Partition Function Evaluated by Spinor Analysis
• Crystal Statistics. I. A Two-Dimensional Model with an Order-Disorder Transition

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