Multicanonical Monte Carlo scheme for finding rare growth factors
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The script gf_mmc_driver.m runs multiple independent instances of a MMC method in parallel with MATLAB's Distributed Computing Toolbox. The outer loop in script gf_mmc_driver.m represents the basic MMC iteration, which initializes and runs a Markov chain and performs a Berg update. In each of the independent MMC instances, a different initialization strategy was used for the Markov chain. For more information, see T. A. Driscoll and K. Maki in the Education section of SIAM Review, to appear 2006-2007.
To use simply unzip file and first edit the job manager name in jm=findResource() found on line 37 of gf_mmc_driver.m. Then run the driver script gf_mmc_driver.m from command line. Requires functions mcmc1 and mcmc2 provided in gf_mmc.zip file.
Cite As
Kara Maki (2024). Multicanonical Monte Carlo scheme for finding rare growth factors (https://www.mathworks.com/matlabcentral/fileexchange/12552-multicanonical-monte-carlo-scheme-for-finding-rare-growth-factors), MATLAB Central File Exchange. Retrieved .
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1.0.0.0 |