Results 11 to 20 of about 114,035 (266)
Teaching Monte Carlo Simulation with Python
Journal of Statistics and Data Science Education, 2022 It has become increasingly important for future business professionals to understand statistical computing methods as data science has gained widespread use in contemporary organizational decision processes in recent years.
Justin O. Holman, Allie Hacherl
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Fast Simulation Study of Muon Absorption Radiography Based on Energy Loss Calculation
Yuanzineng kexue jishu, 2022 Using natural cosmic ray muon as radiation source, muon absorption radiography can realize nondestructive detection of large-scale geological objects. Simulation analysis is an important step in the application of muon absorption radiography.
DING Wenwan;LIU Yuanyuan;WANG Li;SU Ning;CHENG Jianping;HAN Jianwu;ZHEN Gang
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INLINE THERMAL AND XENON FEEDBACK ITERATIONS IN MONTE CARLO REACTOR CALCULATIONS [PDF]
EPJ Web of Conferences, 2021 In this work, we describe a method for converging nonlinear feedback during the convergence of the neutron fission source in a Monte Carlo reactor simulation.
Gill Daniel F.
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Introduction to Monte Carlo Simulation [PDF]
AIP Conference Proceedings, 2010 This paper reviews the history and principles of Monte Carlo simulation, emphasizing techniques commonly used in the simulation of medical imaging.
Robert L. Harrison +2 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
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Quasi Monte Carlo for Periodic Review in Inventory Systems [PDF]
E3S Web of Conferences, 2023 Periodic Review as a method is widely used especially in inventory system. In this paper Quasi Monte Carlo is used for simulating Periodic Review. The problem: How to implement Quasi Monte Carlo simulation in Periodic Review for inventory system of MSMEs
Sugiharti Endang +4 more
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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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Simulation and the Monte Carlo Method [PDF]
, 2007 Simulation and the Monte Carlo Method, Third Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the state-of-the-art theory, methods and applications that have emerged in Monte Carlo simulation since the publication of the classic First Edition over more than a quarter of a century ago. While
Rubinstein, Reuven Y., Kroese, Dirk P.
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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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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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