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[ascl:2008.016] ParaMonte: Parallel Monte Carlo library

ParaMonte contains serial and parallel Monte Carlo routines for sampling mathematical objective functions of arbitrary-dimensions. It is used for posterior distributions of Bayesian models in data science, Machine Learning, and scientific inference and unifies the automation of Monte Carlo simulations. ParaMonte is user friendly and accessible from multiple programming environments, including C, C++, Fortran, MATLAB, and Python, and offers high performance at runtime and scalability across many parallel processors.

Code site:
https://github.com/cdslaborg/paramonte
Used in:
https://ui.adsabs.harvard.edu/abs/2020arXiv200601157O
Described in:
https://ui.adsabs.harvard.edu/abs/2020arXiv200809589S https://ui.adsabs.harvard.edu/abs/2017arXiv171110599S
Bibcode:
2020ascl.soft08016S

Views: 239

ascl:2008.016
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