Reduced-Rejection-Rate Monte Carlo for Ising spin models
Author carlobaldassi
9 Stars
Updated Last
2 Years Ago
Started In
August 2016


Documentation Build Status Releases

This code implements the Reduced-Rejection-Rate (RRR) Monte Carlo method for Ising spin models described in the paper "A method to reduce the rejection rate in Monte Carlo Markov Chains" by C. Baldassi, J. Stat. Mech. Theor. Exp., (2017) 3, 033301 doi:10.1088/1742-5468/aa5335 (arXiv).

It also provides:

The code is written in Julia. It requires Julia 1.0.


To install the package, use Julia's package manager: from the Julia REPL, type ] to enter the Pkg REPL mode and run:

(v1.3) pkg> add RRRMC

Or, equivalently, via the Pkg API:

julia> import Pkg; Pkg.add("RRRMC")

Dependencies will be installed automatically.


  • STABLE — stable version of the documentation
  • DEVin-development version of the documentation.

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