The Green function Monte Carlo method of Chin et al is applied to SU(2) Yang– Mills theory in (2 + 1) dimensions. Accurate measurements are obtained for the ground-state energy and mean plaquette value, and for various Wilson loops. The results are compared with series and linked-cluster expansions, and with the Euclidean Monte Carlo results of Teper. The finite-size scaling behaviour of the mo...

The need of realistic models to evaluate the availability of multi-state, multi-output plants is felt in many advanced industries such as the nuclear, aerospace, oil and chemical ones. Indeed, often the complexity of the plant and of its maintenance and recon guration policies is such to render unfeasible its reliability/availibility evaluation by analytical models. In this paper we consider th...

Recent improvements in the analysis techniques and Monte Carlo models used in the measurement of the hadronic structure function of the photon have lead to much improved experimental results. Its low x behaviour was studied in various Q regions using LEP1 and LEP2 data, while its x dependence and Q evolution up to very high virtualities, as well as its charm component were studied using the hig...

This paper presents an improved result on the negative-binomial Monte Carlo technique analyzed in a previous paper for the estimation of an unknown probability p. Specifically, the confidence level associated to a relative interval [p/μ2, pμ1], with μ1, μ2 > 1, is proved to exceed its asymptotic value for a broader range of intervals than that given in the referred paper, and for any value of p...

We conduct extensive Monte Carlo experiments on non-parametric estimations of duration models with unknown duration dependence and unknown mixing distribution for unobserved heterogeneity. We propose a full non-parametric maximum likelihood approach, based on time-varying lagged explanatory covariates from observational data. By utilising this data-based identification source, we find that both...

In this study, potential of electrical power generation estimates for geothermal resource fields with sufficient information available in Turkey are calculated. Estimates are obtained using the methodology based on volumetric reserve estimation approach introduced by USGS. A stochastic approach using Monte Carlo simulation technique is implemented to account for uncertainties involving some inp...

Purpose Monte Carlo (MC) models of radiotherapy beams can be used as a comparison benchmark for other dose calculation methods. In any such comparison process, the degree to which an identified deviation represents an actual error will depend upon the accuracy of the benchmark. As part of an ongoing dosimetric study, we have sought to model the standard Varian Clinac 6MV beam as accurately as p...

We propose a canonical representation of the long run matrix, which can constitute a basis for non-causality testing. This representation requires to determine a sub-matrix rank, which can be done using a test procedure, whose properties are analysed with Monte Carlo experiments.  2000 Elsevier Science S.A. All rights reserved.

of Stochastic Spin Dynamicsand Monte Carlo Methods L. Teich, C. Schröder, C. Müller, A. Patel, J. Meyer and A. Hütten Bielefeld Institute for Applied Materials Research, University of Applied Sciences Bielefeld, Wilhelm-Bertelsmann-Str. 10, 33602 Bielefeld, Germany Department of Engineering Sciences and Mathematics, University of Applied Sciences Bielefeld, Wilhelm-Bertelsmann-Str. 10, 33602 Bi...