Results 1 to 10 of about 1,149,889 (365)
We study the critical relaxation of the two-dimensional Ising model from a fully ordered configuration by series expansion in time t and by Monte Carlo simulation. Both the magnetization (m) and energy series are obtained up to 12-th order.
A. J. Guttmann+73 more
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Monte Carlo Simulations in Multibaric-Multithermal Ensemble
We propose a new generalized-ensemble algorithm, which we refer to as the multibaric-multithermal Monte Carlo method. The multibaric-multithermal Monte Carlo simulations perform random walks widely both in volume space and in potential energy space. From
Allen+26 more
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Adaptive Memory Saving Strategy in Shielding Calculation of RMC [PDF]
RMC(Reactor Monte Carlo) is a Monte Carlo simulation software used in reactor design and has been verified by different benchmarks. The former data structure and algorithm have been optimized for criticality and burn-up calculation making it inconvenient
Hu Yingzhe+5 more
doaj +1 more source
Uncertainty-based design and optimization is becoming one of the research focuses for high safety of complex engineering systems. Evaluating failure probability is essential and necessary in uncertainty-based design and optimization. Reliability analysis
Rong Yuan+4 more
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BackgroundAttrition is one of the major methodological problems in longitudinal studies. It can deteriorate generalizability of findings if participants who stay in a study differ from those who drop out.
Kristin Gustavson+3 more
semanticscholar +1 more source
Assessing Excel VBA Suitability for Monte Carlo Simulation
Monte Carlo (MC) simulation includes a wide range of stochastic techniques used to quantitatively evaluate the behavior of complex systems or processes. Microsoft Excel spreadsheets with Visual Basic for Applications (VBA) software is, arguably, the most
Alexei Botchkarev
doaj
Direct Monte Carlo simulation of nanoscale mixed gas bearings
The conception of sealed hard drives with helium gas mixture has been recently suggested over the current hard drives for achieving higher reliability and less position error.
Kyaw Sett Myo+4 more
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A Method for Estimating Annual Energy Production Using Monte Carlo Wind Speed Simulation
A novel Monte Carlo (MC) approach is proposed for the simulation of wind speed samples to assess the wind energy production potential of a site. The Monte Carlo approach is based on historical wind speed data and reserves the effect of autocorrelation ...
Birgir Hrafnkelsson+2 more
doaj +1 more source
Classical and Bayesian Analysis of Univariate and Multivariate Stochastic Volatility Models [PDF]
In this paper Efficient Importance Sampling (EIS) is used to perform a classical and Bayesian analysis of univariate and multivariate Stochastic Volatility (SV) models for financial return series. EIS provides a highly generic and very accurate procedure
Liesenfeld, Roman+1 more
core
Risk Analysis of Project Scheduling Using Microsoft Excel
Scheduling plays a very important role for the successful implementation of construction projects. One of the biggest risks in scheduling is in terms of project costs and duration uncertainty.
I Nyoman Suardika+4 more
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