MINT: a Computer Program for Adaptive Monte Carlo Integration and Generation of Unweighted Distributions
P. Nason
TL;DR
MINT is a FORTRAN program designed for adaptive Monte Carlo integration and generating unweighted distributions, aiding in computational physics and statistical sampling tasks.
Contribution
The paper introduces MINT, a new software tool that enhances Monte Carlo integration and distribution generation with adaptive algorithms.
Findings
Efficient adaptive Monte Carlo integration.
Generation of unweighted distributions.
Applicable to complex computational problems.
Abstract
In this note I illustrate the program MINT, a FORTRAN program for Monte Carlo adaptive integration and generation of unweighted distributions.
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Taxonomy
TopicsStochastic processes and financial applications · Monetary Policy and Economic Impact · demographic modeling and climate adaptation