Monte Carlo Simulation

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The analysis of a system’s behaviour, by randomly changing the system’s input, and observing output
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Monte Carlo methods (or Monte Carlo experiments) are a class of computational algorithms that rely on repeated random sampling to compute their results.
7 depicts the predicted growth process of spherulites and cylindrical crystals at a 5 K/min cooling rate using the Monte Carlo method. It's obvious that more details can be obtained easily with this approach as the status of every spherulite and cylindrical crystals are calculated at every time step.
Using the Monte Carlo method, the estimated mean M was 0.06 for Plot 1, but the SE was 0.033 with a CV of 53.3% (see Table 1).
In this study, we use the Monte Carlo method (Metropolis and Ulam, 1949; Ulam, 1950) and law of propagation of uncertainty (JCGM, 2008).
Unlike the abovementioned study this paper presents results of using both the Minimum Coupling Loss (MCL) and Monte Carlo method. This paper does not include an evaluation of AICR.
Mehdi Bakhshabadi, one of the Iranian researchers, explained about the procedure of this study, and said, "In order to study the effect of the presence of nanoparticles on dose enhancement, we firstly designed brachytherapy source in MCNPX code in Monte Carlo method. Then, we placed 48 sources with specific arrangement that is used in treatment centers all over the world for the treatment of prostate cancer in the phantom soft tissue of prostate.
An alternative method used to evaluate the integral is the Monte Carlo method. The Monte Carlo method is a numerical method that uses random number to solve mathematical problems [13].
Monte Carlo method as a random method is useful in many areas of computational mathematics, where a lucky choice can find the correct result.
The Wigner Monte Carlo method for nanoelectronic devices; a particle description of quantum transport and decoherence.
The Monte Carlo method is quicker than the molecular dynamics method because it doesn't reproduce the actual physical motion of the atoms or molecules, he said.
The crystal structures of 2,4,6-triisopropylbenzenesulfonamide, 1,2,3-trihydroxybenzene-hexamethylenetetramine (1/1), 5-bromonicotinic acid and chlorothalonil form II have been solved from x-ray powder diffraction data, by application of a direct space structure solution approach using the Monte Carlo method and confirmed by Rietveld refinement.
The Monte Carlo method can be used to maximize the dose to cancerous tissue, while minimizing the dose to healthy cells.

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