Zobrazeno 1 - 10
of 6 819
pro vyhledávání: '"Monte Carlo method in statistical physics"'
Autor:
Maurizio Dapor
Publikováno v:
Transport of Energetic Electrons in Solids ISBN: 9783030432638
Transport of Energetic Electrons in Solids ISBN: 9783319038827
Transport of Energetic Electrons in Solids ISBN: 9783319474908
Transport of Energetic Electrons in Solids ISBN: 9783319038827
Transport of Energetic Electrons in Solids ISBN: 9783319474908
Monte Carlo is one of the most powerful theoretical methods for evaluating the physical quantities related to the interaction of electrons with a solid target. A Monte Carlo simulation can be considered as an idealized experiment. The simulation does
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7aa03b52d267fcef7a776ae0d511623
https://doi.org/10.1007/978-3-030-43264-5_6
https://doi.org/10.1007/978-3-030-43264-5_6
Autor:
Byron P. Roe
Publikováno v:
Probability and Statistics in the Physical Sciences ISBN: 9783030536930
Probability and Statistics in Experimental Physics ISBN: 9781475721881
Probability and Statistics in Experimental Physics ISBN: 9781441928955
Probability and Statistics in Experimental Physics ISBN: 9781475721881
Probability and Statistics in Experimental Physics ISBN: 9781441928955
Many times we wish to simulate the results of an experiment by using a computer and random variables, using the pseudo-random number generators available on computers. This is known as Monte Carlo simulation. This is often done because the experiment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4acc58781d4e72695cbc1be33365e02c
https://doi.org/10.1007/978-3-030-53694-7_8
https://doi.org/10.1007/978-3-030-53694-7_8
Publikováno v:
Mechanical Systems and Signal Processing. 104:866-883
Probabilistic modeling provides the capability to represent and manipulate uncertainty in data, models, predictions and decisions. We are concerned with the problem of learning probabilistic models of dynamical systems from measured data. Specificall
Publikováno v:
IEEE Transactions on Magnetics. 54:1-4
In order to extend the application of reliability-based design optimization to engineering electromagnetic problems, the main contribution of this paper is to propose an efficient reliability analysis method: adaptive Kriging-assisted weight index Mo
Publikováno v:
Journal of Thermophysics and Heat Transfer. 32:156-160
This paper concerns the development of a novel hybrid hard sphere molecular model in direct simulation Monte Carlo technique. Usually, the variable hard sphere model is applied to simulate molecula...
Publikováno v:
SIAM Journal on Scientific Computing. 40:A504-A528
© 2018 Society for Industrial and Applied Mathematics. We develop a new Monte Carlo method that solves hyperbolic transport equations with stiff terms, characterized by a (small) scaling parameter. In particular, we focus on systems which lead to a
Autor:
Mrinal Kumar, Chao Yang
Publikováno v:
Automatica. 87:301-309
This paper considers the problem of initial uncertainty forecasting in deterministic nonlinear continuous-time dynamical systems via particle ensembles. The popular Monte Carlo method, which while simple to implement, faces fundamental issues. In par
Autor:
Peter M. Bentler, Siavash Jalal
Publikováno v:
Structural Equation Modeling: A Multidisciplinary Journal. 25:541-557
Statistical theories of goodness-of-fit tests in structural equation modeling are based on asymptotic distributions of test statistics. When the model includes a large number of variables or the population is not from a multivariate normal distributi