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Balance Condition Library
C++ CMake
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README.md

BCL: Balance Condition Library

The goal of the BCL is providing

  • C++ reference implementation of the rejection-optimized kernel (ST2010) as well as Metropolis-Hasting and Gibbs sampler in Markov Chain Monte Carlo (MCMC),
  • interface for C, Fortran, Python, etc, and
  • example and benchmark programs of Markov Chain Monte Carlo simulation based on several MCMC kernels on standard models (Ising, Potts, etc) in the field of statistical physics.

Release Note

  • Release 0.1 (2013/09/12)
    • Initial version

Reference

  • H. Suwa and S. Todo, "Markov Chain Monte Carlo Method without Detailed Balance," Physical Review Letters 105, 120603 (2010).

Developers

  • Hidemaro Suwa (University of Tokyo)
  • Synge Todo (University of Tokyo)
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