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Overrelaxation and Monte Carlo simulation

Physical Review D, 1987
I study a simple variation of the algorithm of Metropolis et al. for simulating statistical systems. The trial changes in any given variable are taken from a region of phase space far from the old value but involving only small changes in energy. This results in correlation times which are short compared to the usual applications of the algorithm of ...
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Monte Carlo Simulation Method

2019
The sequential use of random numbers, to sample the values of probability variables, allows obtaining solutions to mathematical problems such as the Monte Carlo method, that allows to model stochastic parameters or deterministic based on random sampling.
Lorenzo Cevallos-Torres   +1 more
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Multicanonical Monte Carlo Simulations

International Journal of Modern Physics C, 1993
The multicanonical ensemble is reviewed. Simulations of this ensemble promise improvements for a wide range of systems. Applications to first order phase transitions and spin glasses are summarized.
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Monte Carlo Simulation

2014
The name “Monte Carlo” emerged from the name of the city “Monte Carlo”, famous for its Casino. In the casino there was a roulette where a small button was fixed at the centre of a wheel and the numbers 0–9 were marked at the end of the ten spokes of the wheel. When the button was pressed, the wheel starts rotating. When the wheel stops, a number within
Asis Kumar Chattopadhyay   +1 more
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Monte Carlo simulation in Fourier space

Computer Physics Communications, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Monte Carlo Simulation

2006
In the general overview on materials and their characteristics, outlined in Sect. 1.3, it has been stated that materials and their characteristics result from the processing of matter. Thus, condensed matter physics is one of the fundamentals for the understanding of materials.
Xiao Hu   +2 more
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Bayesian post-processing of Monte Carlo simulation in reliability analysis

Reliability Engineering and System Safety, 2022
Iason Papaioannou   +2 more
exaly  

Monte Carlo simulations

2002
Daan Frenkel, Berend Smit
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Monte-Carlo-Simulation

2016
Das Kapitel 3 wendet sich der Monte-Carlo-Simulation von Optionen zu. Allgemeine stochastische Differentialgleichungen mussen hierzu numerisch integriert werden — das erste Thema des Kapitels. Der Prototyp einer solchen Methode ist das Euler-Verfahren, mit dem sich die meisten Beispiele simulieren lassen.
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Monte Carlo simulations

1992
Abstract It could be argued that current physics research can be divided into three areas-theoretical, experimental, and computational. umerical approaches, in which systems are mimicked as accurately as possible using a computer or in which computer models arc set up to provide well-behaved experimental systems are increasingly ...
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