scholarly journals Monte Carlo analysis of noise spectra in self-switching nanodiodes

2008 ◽  
Vol 103 (2) ◽  
pp. 024502 ◽  
Author(s):  
I. Iñiguez–de-la-Torre ◽  
J. Mateos ◽  
D. Pardo ◽  
T. González
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Analysis ◽  
Noise Spectra

Monte Carlo analysis of noise spectra in InAs channels from diffusive to ballistic regime

2009 ◽  
Author(s):  
G. Sabatini ◽  
H. Marinchio ◽  
L. Varani ◽  
C. Palermo ◽  
J. F. Millithaler ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Analysis ◽  
Ballistic Regime ◽  
Noise Spectra

Monte Carlo analysis of noise spectra in Schottky‐barrier diodes

1993 ◽  
Vol 63 (22) ◽  
pp. 3040-3042 ◽  
Author(s):  
Tomás González ◽  
Daniel Pardo ◽  
Luca Varani ◽  
Lino Reggiani
Keyword(s):  
Monte Carlo ◽  
Schottky Barrier ◽  
Monte Carlo Analysis ◽  
Schottky Barrier Diodes ◽  
Noise Spectra

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.

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

A detailed experimental and Monte Carlo analysis of gold nanoparticle dose enhancement using 6 MV and 18 MV external beam energies in a macroscopic scale

2021 ◽  
Vol 171 ◽  
pp. 109638
Author(s):  
Tara Gray ◽  
Nema Bassiri ◽  
Shaquan David ◽  
Devanshi Yogeshkumar Patel ◽  
Sotirios Stathakis ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Gold Nanoparticle ◽  
Monte Carlo Analysis ◽  
External Beam ◽  
Macroscopic Scale ◽  
Dose Enhancement
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