Results 21 to 30 of about 676,552 (170)
Conversion of Monte Carlo Steps to Real Time for Grain Growth Simulation
Advances in Mathematical Physics, 2017 Monte Carlo (MC) technique is becoming a very effective simulation method for prediction and analysis of the grain growth kinetics at mesoscopic level.
N. Maazi
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E-Jurnal Matematika, 2017 Contract options are the most important part of an investment strategy. An option is a contract that entitles the owner or holder to sell an asset on a designated maturity date.
DEWA AYU AGUNG PUTRI RATNASARI +2 more
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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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Metropolis Methods for Quantum Monte Carlo Simulations [PDF]
, 2003 Since its first description fifty years ago, the Metropolis Monte Carlo method has been used in a variety of different ways for the simulation of continuum quantum many-body systems.
Ceperley, D. M.
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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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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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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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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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Hybrid model of Monte Carlo simulation and diffusion theory for light reflectance by turbid media [PDF]
, 1993 Light reflectance by semi-infinite turbid media is modeled by a hybrid of Monte Carlo simulation and diffusion theory, which combines the accuracy of Monte Carlo simulation near the source and the speed of diffusion theory distant from the source.
Jacques, Steven L., Wang, Lihong
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