Results 31 to 40 of about 1,205,834 (315)
Monte Carlo Simulation and Applications
Journal of Kufa for Mathematics and Computer, 2012 The Monte Carlo simulation technique is one of the common computational tools used to imitate and follow up complex real life systems and their development with time. Variables of a disease problem were defined and the mathematical model for this problem
Abd Al Kareem I Sheet, Nadia Adeel Saeed
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Improved neural network Monte Carlo simulation
SciPost Physics, 2021 The algorithm for Monte Carlo simulation of parton-level events based on an Artificial Neural Network (ANN) proposed in arXiv:1810.11509 is used to perform a simulation of $H\to 4\ell$ decay.
I-Kai Chen, Matthew D. Klimek, Maxim Perelstein
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Implementing a Simulation Study Using Multiple Software Packages for Structural Equation Modeling
SAGE Open, 2015 A Monte Carlo simulation study is an essential tool for evaluating the behavior of various quantitative methods including structural equation modeling (SEM) under various conditions.
Sunbok Lee
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Quantum Monte Carlo simulation
, 2011 Contemporary scientific studies often rely on the understanding of complex quantum systems via computer simulation. This paper initiates the statistical study of quantum simulation and proposes a Monte Carlo method for estimating analytically intractable
Wang, Yazhen
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Classical and Quantum Dynamics in Condensed Phase Simulations, 1990 Monte Carlo simulation techniques are discussed, with special emphasis on those technical aspects that are important for the simulation of dense liquids and solids. In these notes, the Metropolis sampling scheme is introduced as a special case of importance sampling.
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Monte Carlo-Based Reliability Estimation Methods for Power Devices in Power Electronics Systems
IEEE Open Journal of Power Electronics, 2021 Monte Carlo simulation has been widely used for reliability assessment of power electronic systems. In this approach, multiple simulations are carried out during the lifetime estimation of the components in power converter, e.g., power devices, where the
M. Novak +2 more
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Multi-level Monte Carlo for continuous time Markov chains, with applications in biochemical kinetics [PDF]
, 2011 We show how to extend a recently proposed multi-level Monte Carlo approach to the continuous time Markov chain setting, thereby greatly lowering the computational complexity needed to compute expected values of functions of the state of the system to a ...
Anderson, David F., Higham, Desmond J.
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International Journal of Antennas and Propagation, 2020 The performance of the conventional beamforming for angle-of-arrival (AOA) estimation algorithm under measurement uncertainty is analyzed. Gaussian random variables are used for modeling measurement noises.
Eun-Kyung Lee, Joon-Ho Lee
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Monte Carlo Modeling of Spin FETs Controlled by Spin-Orbit Interaction
, 2003 A method for Monte Carlo simulation of 2D spin-polarized electron transport in III-V semiconductor heterojunction FETs is presented. In the simulation, the dynamics of the electrons in coordinate and momentum space is treated semiclassically. The density
Awschalom +50 more
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Information-geometric Markov Chain Monte Carlo methods using Diffusions [PDF]
, 2014 Recent work incorporating geometric ideas in Markov chain Monte Carlo is reviewed in order to highlight these advances and their possible application in a range of domains beyond Statistics. A full exposition of Markov chains and their use in Monte Carlo
Girolami, Mark, Livingstone, Samuel
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