Sentence examples for metropolis statistics from inspiring English sources

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Approximately canonical REMS with smoothing time of 200 fs leads to efficient replica exchange with mean exchange probabilities of about 30% (Fig. 4A); conventional REM of this system in explicit water being limited by Metropolis statistics of less than 1% (data not shown).

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This Metropolis limit derives from the statistics of energy fluctuations, whereby the energy overlap between adjoining replicas required for efficient MC exchange scales as n−½, where n is the number of degrees of freedom, which are mostly of bulk water molecules.

When asked if he was worried by the statistics in other metropolises at his Wednesday press conference, Bratton scoffed and referred again to the trio of officers who apprehended the out-of-state criminal.

A ratio statistics similar to that in the Metropolis algorithm is introduced to maintain the detailed balance.

23 According to statistics from the city transport authority, there is an average of 150 vehicles and 180 motor cycles to every kilometre within the metropolis.

The transport is investigated by the Monte Carlo simulation of successive scattering events of single electrons which are sampled with the Metropolis scheme governed by the scattering probabilities, the thermal statistics in the leads, and the applied bias.

3. Thriving little metropolises... (metropoli?).

Supported by the recent population census, one percent sample survey, and other socioeconomic statistics, this paper posits that a socioeconomically segregated metropolis has emerged in Shanghai: It is an individual's social status and the affordability of certain areas that determines where one can live.

The MCMC process used was identical to that used for the dioxin example, with the exception that only 8,000 iterations of the Metropolis algorithm were performed, and the last 20% (1,600) values were used to calculate the summary statistics.

Thanks to recent advances in crash modeling and Bayesian statistics, parameter estimation is done within the Bayesian paradigm, using a Gibbs Sampler and the Metropolis–Hastings (M H) algorithms for crashes on Washington State rural two-lane highways.

The metropolis alight.

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