
A two-state density-of-states algorithm that reduces Monte Carlo effort and avoids error saturation in difficult multidimensional integration.
Nov 1, 2017

A convergent 1/t Monte Carlo integration method that removes fixed-bin approximation error for integrals through six dimensions.
Jun 1, 2016
A hybrid Monte Carlo method that combines simple sampling with the 1/t algorithm to estimate sharply peaked integrals without error saturation.
Mar 20, 2014