The roll-out of the RadCalc 3D Monte Carlo module at AUSL-IRCCS was preceded by a period of preclinical “tuning and validation”, with the optimized software subsequently used to dosimetrically verify ...

Original Article Published: 15 September 2004 Focus Articles A Monte Carlo algorithm for computing the IBD matrices using incomplete marker information Y Mao & S Xu Heredity 94, 305–315 (2005 ...

Cambridge Quantum Computing (CQC) has developed an algorithm that accelerates Monte Carlo integration. Monte Carlo integration – the process of numerically estimating the mean of a probability ...

This article presents a sequential Monte Carlo (SMC) algorithm that can be used for any one-at-a-time Bayesian sequential design problem in the presence of model uncertainty where discrete data are ...

Fast, Hierarchical, and Adaptive Algorithm for Metropolis Monte Carlo Simulations of Long-Range Interacting Systems. Physical Review X, 2023; 13 (3) DOI: 10.1103/PhysRevX.13.031006 ...

The Monte Carlo method is a type of algorithm that reveals a distribution by randomly sampling its elements again and again. For example, say there are 40 red marbles, 20 green marbles, 25 orange ...

Asger Hobolth, A Markov Chain Monte Carlo Expectation Maximization Algorithm for Statistical Analysis of DNA Sequence Evolution with Neighbor-Dependent Substitution Rates, Journal of Computational and ...

Quantum twist on common computer algorithm promises useful speed boost Quantum computers have been shown to solve some problems faster than ordinary computers, but so far all these problems have ...