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Boltzmann distribution
(Open Source Physics(OSP)., 2011)
Boltzmann distribution
(Open Source Physics(OSP)., 2016)
Comparação de estratégias de geração de propostas no algoritmo Metropolis-Hastings para um modelo Poisson log-linear
(Universidade Federal de Minas GeraisUFMG, 2016-02-26)
The Markov Chain Monte Carlo methods (MCMC) are a class of simulation algorithms widely used in Bayesian inference to indirectly draw samples from the posterior distribution, which is known up to a constant of proportionality. ...
Simulación de un supercapacitor poroso por medio del algoritmo Montecarlo Metrópoli
(Universidad Nacional de Ingeniería, 2019)
Simulación de un supercapacitor poroso por medio del algoritmo Montecarlo Metrópoli
(Universidad Nacional de Ingeniería, 2019)
Introdução ao método Monte Carlo: exemplos de aplicação
(Universidade Federal de Santa MariaCentro de Ciências Naturais e Exatas, 2007-03-08)
In the present work, we study the Monte Carlo method in an introductory level. This method has been applied in models and systems whose results are known to compare with ours results. In the first part of this work, some ...