Results 11 to 20 of about 676,552 (170)
The Coupled Electronic-Ionic Monte Carlo Simulation Method [PDF]
, 2002 Quantum Monte Carlo (QMC) methods such as Variational Monte Carlo, Diffusion Monte Carlo or Path Integral Monte Carlo are the most accurate and general methods for computing total electronic energies.
B. L. Hammond Jr. +35 more
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Examining the Value of Monte Carlo Simulation for Project Time Management
Management, 2019 Research Question: This paper investigates whether the Monte Carlo simulation can be widely used as a practicable method for the analysis of the risks that impact project duration.
Goran Avlijas
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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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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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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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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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Multilevel Monte Carlo Path Simulation [PDF]
Operations Research, 2008 We show that multigrid ideas can be used to reduce the computational complexity of estimating an expected value arising from a stochastic differential equation using Monte Carlo path simulations. In the simplest case of a Lipschitz payoff and a Euler discretisation, the computational cost to achieve an accuracy of O(ϵ) is reduced from O(ϵ−3) to O(ϵ−2 (
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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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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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