Abstract: 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.
Credit: Shahmoradi, Amir; Bagheri, Fatemeh
Preferred citation method: https://ui.adsabs.harvard.edu/abs/2020arXiv200809589S