scholarly journals A MONTE CARLO ANALYSIS METHOD OF CRUSTAL DEFORMATION COMPUTATION ON GPU CLUSTERS

2017 ◽  
Vol 73 (4) ◽  
pp. I_310-I_320
Author(s):  
Takuma YAMAGUCHI ◽  
Ryoichiro AGATA ◽  
Tsuyoshi ICHIMURA ◽  
Muneo HORI ◽  
Lalith WIJERATHNE
Keyword(s):  
Monte Carlo ◽  
Crustal Deformation ◽  
Monte Carlo Analysis ◽  
Analysis Method ◽  
Gpu Clusters

Particle-mesh two-dimensional pattern reverse Monte Carlo analysis on filled-gels during uniaxial expansion

Soft Matter ◽  
2019 ◽  
Vol 15 (36) ◽  
pp. 7237-7249
Author(s):  
Katsumi Haita
Keyword(s):  
Monte Carlo ◽  
Small Angle ◽  
Monte Carlo Analysis ◽  
Small Angle Scattering ◽  
Reverse Monte Carlo ◽  
Two Dimensional ◽  
Analysis Method ◽  
Angle Scattering

A particle-mesh-based two-dimensional pattern reverse Monte Carlo (RMC) analysis method (PM-2DpRMC) is proposed for analyzing two-dimensional small-angle-scattering (2D-SAS) patterns. The validities of this PM-2DpRMC method were confirmed.

Generation of Correlated Logistic-Normal Random Variates for Medical Decision Trees

1998 ◽  
Vol 37 (03) ◽  
pp. 235-238 ◽  
Author(s):  
M. El-Taha ◽  
D. E. Clark
Keyword(s):  
Monte Carlo ◽  
Decision Trees ◽  
Computer Algebra ◽  
Taylor Series ◽  
Computer Algebra System ◽  
Random Variable ◽  
Monte Carlo Analysis ◽  
Normal Random Variable ◽  
Medical Decision ◽  
Theoretical Results

AbstractA Logistic-Normal random variable (Y) is obtained from a Normal random variable (X) by the relation Y = (ex)/(1 + ex). In Monte-Carlo analysis of decision trees, Logistic-Normal random variates may be used to model the branching probabilities. In some cases, the probabilities to be modeled may not be independent, and a method for generating correlated Logistic-Normal random variates would be useful. A technique for generating correlated Normal random variates has been previously described. Using Taylor Series approximations and the algebraic definitions of variance and covariance, we describe methods for estimating the means, variances, and covariances of Normal random variates which, after translation using the above formula, will result in Logistic-Normal random variates having approximately the desired means, variances, and covariances. Multiple simulations of the method using the Mathematica computer algebra system show satisfactory agreement with the theoretical results.

FLIGHT MECHANICS AND MONTE CARLO ANALYSIS FOR A STUDENT SOUNDING ROCKET

2016 ◽  
Author(s):  
Eduardo Jourdan ◽  
Matheus Ferraz ◽  
Dalton Menezes
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Analysis ◽  
Flight Mechanics ◽  
Sounding Rocket

Monte Carlo Analysis of Nonequilibrium Ionized Flows.

1996 ◽  
Author(s):  
Iain D. Boyd ◽  
Xiaoming Liu ◽  
Jitendra Balakrishnan
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Analysis

scholarly journals Li-ion batteries for peak shaving, price arbitrage, and photovoltaic self-consumption in commercial buildings: A Monte Carlo Analysis

2021 ◽  
Vol 234 ◽  
pp. 113889
Author(s):  
Pietro Elia Campana ◽  
Luca Cioccolanti ◽  
Baptiste François ◽  
Jakub Jurasz ◽  
Yang Zhang ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Analysis ◽  
Commercial Buildings ◽  
Li Ion Batteries ◽  
Peak Shaving ◽  
Li Ion
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