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Monte Carlo method in statistical physics

The quantum Monte Carlo method : application to problems in statistical physics

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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Research on cold chain in food industry in China

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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Development of SUBSPACE-Based Hybrid Monte Carlo-Deterministic Algorithms for Reactor Physics Calculations.

Development of SUBSPACE-Based Hybrid Monte Carlo-Deterministic Algorithms for Reactor Physics Calculations.

... rigorous method to estimate the exact rank of the matrix Ψ such as the range-finding algorithm described in the ...employing Monte Carlo models, a small estimate of the rank should be ...the ...

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Ultra-fast Carrier Transport Simulation on the Grid. Quasi-Random Approach

Ultra-fast Carrier Transport Simulation on the Grid. Quasi-Random Approach

... Quasi-Monte Carlo methods and algorithms proved to be efficient in many areas ranging from physics to ...quasi-Monte Carlo algorithm), and, (ii) the Grid implementation which needs ...

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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

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 statistical bias for an fGn process when analyzing one time ...thorough Monte-Carlo analysis based on ...

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Analysing multi-level Monte Carlo for options with non-globally Lipschitz payoff

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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Reliability Assessment of Bearings Based on Performance Degradation Values under Small Samples

Reliability Assessment of Bearings Based on Performance Degradation Values under Small Samples

... good method to enlarge the sample ...bootstrapping method, according to [17]. Li et al. [18] pointed out that the method was useful for statistics with an unknown distribution and datasets with small ...

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Monte Carlo Simulations

Monte Carlo Simulations

... ^ĞƌǀŝĐĞĚĞZĞĐŚĞƌĐŚĞƐ ĚĞDĠƚĂůůƵƌŐŝĞ WŚLJƐŝƋƵĞ ^ĂĐůĂLJ. •[r] ...

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Monte Carlo methods

Monte Carlo methods

... If the choice of q is not obvious, we recommend the use of an adaptive strategy, such as population Monte Carlo. A description of population MC and an application to model selection in cosmology can be ...

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Evaluation of Investment Risks in CBA with Monte Carlo Method

Evaluation of Investment Risks in CBA with Monte Carlo Method

... KORYTÁROVÁ JANA, POSPÍŠILOVÁ BARBORA. 2015. Evaluation of Investment Risks in CBA with Monte Carlo Method. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 63(1): 245–251. ...

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Applications of the Fixed-node Quantum Monte Carlo Method.

Applications of the Fixed-node Quantum Monte Carlo Method.

... CI) method might build an exact wave function as a linear combination of the HF determinant and all excited determinants ...the method and can be another obstacle to considering a larger space of ...

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Mean exit times and the multilevel Monte Carlo method

Mean exit times and the multilevel Monte Carlo method

... Euler–Maruyama method has weak order equal to one for approximating the expected value of the solution, the order reduces to one half when it is used in a straightforward manner to approximate the mean value of a ...

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A Simple Monte Carlo Method for the Calculation of Efficiency Limit for Current

A Simple Monte Carlo Method for the Calculation of Efficiency Limit for Current

... employed Monte Carlo statistical technique to resolve equation system that is significantly potential to describe the current density versus voltage characteristics of each sub‐cell, to determine its ...

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Simulation for Callable Convertible Discount Bonds with Monte Carlo Method

Simulation for Callable Convertible Discount Bonds with Monte Carlo Method

... The Monte Carlo method is widely applied in many fields. It is applicable to multi-dimensional derivative securities pricing characteristics and easy to deal with the realistic characteristics of ...

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Monte Carlo Simulation Method To Predict  The Charging Load Curve

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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Coded aperture imaging systems:past, present and future development   a review

Coded aperture imaging systems:past, present and future development a review

... same method for neutron imaging has resulted in a number of propitious sys- tems, which could be potentially employed for neutron detection in secu- rity and nuclear decommissioning ...using Monte- ...

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Development of Monte Carlo Methods in Hypersonic Aerodynamics

Development of Monte Carlo Methods in Hypersonic Aerodynamics

... a statistical realization of the evolution of model during the time Δt rather than to the realization of the Boltzmann ...numerical method and the solution of the kinetic ...

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Uncertainty analysis for a wave energy converter: the Monte Carlo method

Uncertainty analysis for a wave energy converter: the Monte Carlo method

... the Monte Carlo method ...accurate method to propagate uncertainties in the experiment; thus, quantifying the quality of experimental data in terms of power ...

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Criticality Analysis and Quality Appraisal of Innoson Injection Mould System

Criticality Analysis and Quality Appraisal of Innoson Injection Mould System

... employed Monte Carlo Normal distribution model which interacts with a developed Obudulu model to assess reliability and maintenance of Injection Moulding ...used. Monte Carlo Normal ...

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Application of Monte Carlo method in Grid Computing and Allied Fields

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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