Monte Carlo statistical method
The quantum Monte Carlo method : application to problems in statistical physics
... diffusion Monte Carlo and GFMC results is generally ...quantum Monte Carlo calculations give ground state energies which are approximately ...
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Monte Carlo Simulation Method To Predict The Charging Load Curve
... its statistical distribution and gave a critical value G (1 − n ) ( ) n when the significant level a was 1% or ...of Monte Carlo Simulation in processed data can be judged by the variance coefficient ...
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Evaluation of Investment Risks in CBA with Monte Carlo Method
... Risk analysis represents key part of this process. It consist of a set of rules how to handle a risk. Risk identifi cation is the standardized process for identifying and characterization of the risks that may be present ...
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How to Adjust the fGn Stochastic Model for Statistical Bias when Handling a Single Time Series; Application to Annual Flood Inundation
... large statistical bias, i.e. the deviation of a statistical characteristic ...the Monte- Carlo technique) of handling the statistical bias for an fGn process when solely one time series ...
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Statistical Estimation of Crack Growth Behaviors in Steam Generator Tubes Using Monte Carlo Method
... The number of initiated cracks during i th operation cycle is predicted from statistical analysis of NDE data obtained until (i-1) th ISI. Using the Weibull distribution function, the number of initiated cracks at ...
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RISK ASSESSMENT WITH THE USE OF THE MONTE-CARLO METHOD
... available statistical data. One can use the Monte- Carlo method to determine the mass of a chemical- ly dangerous substance at an industrial site (for example, an ammonia pumping ...
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Monte Carlo study of a model of diffusion-controlled reactions
... In this paper we examine an altogether different ap- proach to the problem, based on the Monte Carlo method for performing statistical averages 10 : random configurations of nonoverlappi[r] ...
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Monte Carlo Simulation for Statistical Decay of Compound Nucleus
... perform Monte Carlo simulations for neutron and γ -ray emissions from a compound nucleus based on the Hauser-Feshbach statistical ...This Monte Carlo Hauser-Feshbach (MCHF) ...
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Multilevel and quasi Monte Carlo methods for uncertainty quantification in particle travel times through random heterogeneous porous media
... MLQMC method discussed in this paper, and therefore reducing its computational cost, is also possible by exploiting the deterministic way in which the estimation of the QoI is conducted, ...the statistical ...
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Research on cold chain in food industry in China
... Monte Carlo analysis has played an important role for many years in the investigation of statistical estimators whose properties cannot be adequately determined through mathematical techniques ...
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Applications of the Fixed-node Quantum Monte Carlo Method.
... Although this is the seventh excited state for three electrons in the Coulomb potential, it is the ground state of its symmetry. The chosen state and system exhibit a near-degeneracy effect anal- ogous to the one in the ...
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Reliability Assessment of Bearings Based on Performance Degradation Values under Small Samples
... degradation method cannot obtain the ideal results under small ...a method called DDBMC is proposed to solve this problem, and it is suitable for assessing the reliability of products with high reliability ...
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Mean exit times and the multilevel Monte Carlo method
... The work is organized as follows. Section 2 outlines the existing approximation results that are relevant to our analysis. In section 3, we state and prove a new strong convergence result. Section 4 derives the expected ...
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Application of Monte Carlo method in Grid Computing and Allied Fields
... phenomenon, Monte Carlo methods can be used to simulate the overall reaction and in particular the impact on the surrounding ...trajectory. Monte Carlo can be used to simulate different ...
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Lattice switching Monte Carlo method for crystals of flexible molecules
... LSMC method is hence best viewed as a complement to existing methods based on thermodynamic integration or lattice dynamics, for use where high accuracy is ...
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Uncertainty analysis for a wave energy converter: the Monte Carlo method
... to a value of three. Put another way, the breakwater integrated WEC is harnessing three times the incident wave energy, due to reflection and resonance. The uncertainty results are very similar to those of P h,δ , due to ...
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Criticality Analysis and Quality Appraisal of Innoson Injection Mould System
... Shivakumar et al (2015) implemented FMEA in Injection Moulding Process. Pancholiand Bhatt (2016) conducted multicriteria FMECA based decision-making for aluminium wire process rolling mill through COPRAS- G.Gurwinder, S. ...
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Analysing multi-level Monte Carlo for options with non-globally Lipschitz payoff
... allow us to quantify an improvement in computational complexity when standard Monte Carlo is replaced by the multi-level version of [4]; they also explain the numerical results presented there. Promising ...
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Monte Carlo methods
... distribution. Monte Carlo methods are sampling algorithms that allow to com- pute these integrals numerically when they are not analytically ...common Monte Carlo algorithms, among which ...
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