Results 31 to 40 of about 3,744,625 (291)
Why Monte Carlo Simulations are Inferences and not Experiments [PDF]
, 2012 Monte Carlo Simulations arrive at their results by introducing randomness, sometimes derived from a physical randomizing device. Nonetheless, we argue, they open no new epistemic channels beyond that already employed by traditional simulations: the ...
John D. Norton +3 more
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E-Jurnal Matematika, 2018 The purpose of this research is to compare the selling price of down and out barrier option when the prices are simulated by the Antithetic Variate Monte Carlo and the standar Monte Carlo.
LUH HENA TERECIA WISMAWAN PUTRI +2 more
doaj +1 more source
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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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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Monte-Carlo-Based Estimation of the X-ray Energy Spectrum for CT Artifact Reduction
Applied Sciences, 2021 Beam hardening and scattering effects can seriously degrade image quality in polychromatic X-ray CT imaging. In recent years, polychromatic image reconstruction techniques and scatter estimation using Monte Carlo simulation have been developed to ...
Ehsan Nazemi +5 more
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Convergence of Monte Carlo simulations to equilibrium [PDF]
Physical Review E, 2001 4 pages.
Narayan, Onuttom, Young, A. P.
openaire +3 more sources
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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Using Interpolation for Generating Input Data for the Gross Domestic Product Monte Carlo Simulation
Beneficium, 2023 Input modelling is a complex task within the Monte Carlo simulation, especially when the systems and processes under investigation reveal the non-linear behavior of several interdependent variables.
Alexei M. Botchkarev
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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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