Monte Carlo study
Multireference quantum Monte Carlo study of the O4 molecule.
... quantum Monte Carlo (FN-DMC) calculations are performed to obtain the most accurate dissociation barrier and heat of formation with respect to dissociation into molecular oxygen for the chemically bound ...
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Estimation of k-factor GIGARCH process : a Monte Carlo study
... Long-range dependence, as described by Mandelbrot and Van Ness (1968), or by Gran- ger (1980), is present in many time series. One can think of time series in the domain of hydrology, climatology, medicine, astronomy or ...
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Estimation of k-Factor Gigarch Process: A Monte Carlo Study
... Long-range dependence, as described by Mandelbrot and Van Ness (1968), or by Gran- ger (1980), is present in many time series. One can think of time series in the domain of hydrology, climatology, medicine, astronomy or ...
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NMR-Driven Reverse Monte Carlo Study of Sodium Borate Glasses
... models with a non-negligible fraction of super-structural units (6 membered rings) but still below the one determined by two-dimensional liB MQMAS NMR spectroscopy.2 Wit[r] ...
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Testing Fractional Order of Long Memory Processes: A Monte Carlo Study
... k+1,α represents a quantile for a given level α. As soon as ˜ R > χ 2 k+1,α , we reject H 0 , with risk α. Under the null, the test chooses the best long memory parameter, which corresponds to the greatest p−value of ...
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Testing fractional order of long memory processes : a Monte Carlo study
... k+1,α represents a quantile for a given level α. As soon as ˜ R > χ 2 k+1,α , we reject H 0 , with risk α. Under the null, the test chooses the best long memory parameter, which corresponds to the greatest p−value of ...
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MONTE CARLO STUDY OF THE PRECIPITATION KINETICS OF Al3Zr IN Al-Zr
... to study kinetics in Monte Carlo simulations with such interactions, one usually uses a direct atom exchange mechanism [12], and thus looses all kinetic effects due to vacancy-diffusion ...
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Thermodynamic study of water confinement in hydrophobic zeolites by Monte Carlo simulations
... For Peer Review Only In order to provide an answer to these issues, knowledge of the thermodynamic potential of the system is necessary. Such a quantity is not straightforward to obtain and requires the use of ...
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Numerical Study of Light Transport in Apple Models Based on Monte Carlo Simulations
... and Monte Carlo (MC) [ 6 , 27 – 34 ] models to simulate light transport in various complex multilayered biological ...The Monte Carlo method has also been successfully used in the context of ...
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methode monte carlo
... de Monte-Carlo Le terme méthode de Monte-Carlo désigne toute méthode visant à calculer une valeur numérique en utilisant des procédés ...à Monte-Carlo, a été inventé en 1947 par ...
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Monte Carlo method and sensitivity estimations
... most Monte Carlo algorithms, provided that they are based on an underlying multiple integral formulation, even if this formulation is not ...the Monte Carlo weight and take the ...the ...
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Monte Carlo Methods in Statistics
... produced according to a distribution density f , all standard statistical tools, including bootstrap, apply to this sample (with the further appeal that more data points can be produced if deemed necessary). As ...
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Variance Analysis for Monte Carlo Integration
... Sampling, Monte Carlo Integration, Fourier Analysis, Spherical Harmonics, Global Illumination 1 Introduction Numerical integration schemes such as Monte Carlo methods are widely used in high ...
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Monte-Carlo and Domain-Deformation Sensitivities
... considering Monte-Carlo sensitivities, the derivatives of an integral quantity with respect to a geometrical parameter lead to different solution ...
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Comment on "Sequential Quasi-Monte Carlo Sampling"
... Comment on “Sequential Quasi-Monte Carlo Sampling” Pierre L’Ecuyer DIRO, Universit ´e de Montr ´eal, Canada Gerber and Chopin combine SMC with RQMC to accelerate convergence. They apply RQMC as in the ...
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Stochastic Quasi-Newton Langevin Monte Carlo
... Chain Monte Carlo (SG-MCMC) methods have been proposed for scaling up Monte Carlo compu- tations to large data ...this study, we propose a novel SG-MCMC method that takes the local ge- ...
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Monte Carlo with Determinantal Point Processes
... yield Monte Carlo methods with faster convergence rates than the typical N −1/2 , where N is the number of integrand ...a Monte Carlo method based on these determinantal point processes, and ...
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Line-sampling-based Monte Carlo method
... Monte Carlo - Truncature at 5cm −1 Monte Carlo - Truncature at 0.5cm −1 (b) Figure 2. Intensities averaged over several narrowbands, computed for test-case 2, with different spectroscopic ...
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Score Bounded Monte-Carlo Tree Search
... In the following example, we assume the outcomes to be reals from [0, 1] and for sake of simplicity the Q function is assumed to be the mean of random playouts. Figure 2 shows an artificial tree with given bounds and ...
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Addressing nonlinearities in Monte Carlo
... technique” 11 . We are aware of only one attempt so far to bypass this failing: the recent proposal by the applied mathematics community 1,12–14 to use branching processes 15 to solve Fredholm-type integral equations ...
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