Results 231 to 240 of about 255,719 (262)

Monte Carlo / Monte Carlo Markov Chain

2014
The Monte Carlo simulation is a versatile method for analyzing the behavior of some activities, plans or processes that involve uncertainty. The method was invented by scientists working on the atomic bomb in the 1940s. It uses randomness to obtain random variable estimates, similarly to the gambling process.
Castellano R., CEDROLA, ELENA
openaire   +1 more source

Quantum Monte Carlo and Related Approaches

Chemical Reviews, 2012
William A Lester, Dmitry Yu Zubarev
exaly  

Monte Rocca Romana, Monte Calvi e Monte Lucchetti

1894
Cozza, Adolfo, Pasqui, Angiolo
openaire   +1 more source

Monte Carlo methods in geophysical inverse problems

Reviews of Geophysics, 2002
Klaus Mosegaard, Malcolm Sambridge
exaly  

Monte Carlo Estimation of Bayesian Credible and HPD Intervals

Journal of Computational and Graphical Statistics, 1999
Ming-Hui Chen, Qi-Man Shao
exaly  

Theoretical foundations of dynamical Monte Carlo simulations

Journal of Chemical Physics, 1991
Fichthorn Kristen A, Weinberg W H
exaly  

Noncovalent Interactions by Quantum Monte Carlo

Chemical Reviews, 2016
Luboš Mitas, Petr Jurecka, Matus Dubecky   +2 more
exaly  

Mont

2021
openaire   +1 more source

Reverse Monte Carlo Simulation: A New Technique for the Determination of Disordered Structures

Molecular Simulation, 1988
R L Mcgreevy
exaly  

Summarizing Monte Carlo Results in Methodological Research: The One- and Two-Factor Fixed Effects ANOVA Cases

Journal of Educational Statistics, 1992
Michael Harwell
exaly