Results 251 to 260 of about 3,744,625 (291)
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Overrelaxation and Monte Carlo simulation
Physical Review D, 1987I 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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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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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, 1993The 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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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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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, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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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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, 2022Iason Papaioannou +2 more
exaly
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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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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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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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 ...
openaire +1 more source

