Results 61 to 70 of about 676,552 (170)

Adaptive Memory Saving Strategy in Shielding Calculation of RMC [PDF]

open access: yesEPJ Web of Conferences
RMC(Reactor Monte Carlo) is a Monte Carlo simulation software used in reactor design and has been verified by different benchmarks. The former data structure and algorithm have been optimized for criticality and burn-up calculation making it inconvenient
Hu Yingzhe   +5 more
doaj   +1 more source

Monte-Carlo Simulation of Γ-ray and Fast Neutron Radiolysis of Liquid Water and 0.4 M H2SO4 Solutions at Temperatures Up to 325oC [PDF]

open access: yes, 2011
Monte-Carlo simulations were used to study the radiolysis of liquid water at 25-325oC when subjected to low linear energy transfer (LET) of 60Co γ-ray radiation and fast neutrons of 2 and 0.8 MeV.
Gerin, J. (JPJ)   +2 more
core  

Direct Monte Carlo simulation of nanoscale mixed gas bearings

open access: yesAdvances in Mechanical Engineering, 2015
The conception of sealed hard drives with helium gas mixture has been recently suggested over the current hard drives for achieving higher reliability and less position error.
Kyaw Sett Myo   +4 more
doaj   +1 more source

Monte Carlo Simulation in Reactor Physics

open access: yesJournal of Nuclear Engineering
With the increasing demand for high-fidelity neutronics analysis and the development of computer technology, the Monte Carlo method is becoming increasingly important, especially in the critical analysis of initial core and shielding calculations [...]
Shichang Liu, Binji Wang
doaj   +1 more source

Teaching Monte Carlo Simulation in a Business Analytics Course

open access: yesSpreadsheets in Education, 2021
This paper provides an example for teaching Monte Carlo simulation principles in a business analytics course. Specifically, this paper presents a spreadsheet-based Monte Carlo simulation model for a 90-day binary options investment horizon using the ...
David Perkins
doaj  

Assessing Excel VBA Suitability for Monte Carlo Simulation

open access: yesSpreadsheets in Education, 2015
Monte Carlo (MC) simulation includes a wide range of stochastic techniques used to quantitatively evaluate the behavior of complex systems or processes. Microsoft Excel spreadsheets with Visual Basic for Applications (VBA) software is, arguably, the most
Alexei Botchkarev
doaj  

Classical and Bayesian Analysis of Univariate and Multivariate Stochastic Volatility Models [PDF]

open access: yes
In this paper Efficient Importance Sampling (EIS) is used to perform a classical and Bayesian analysis of univariate and multivariate Stochastic Volatility (SV) models for financial return series. EIS provides a highly generic and very accurate procedure
Liesenfeld, Roman   +1 more
core  

A Method for Estimating Annual Energy Production Using Monte Carlo Wind Speed Simulation

open access: yesEnergies, 2016
A novel Monte Carlo (MC) approach is proposed for the simulation of wind speed samples to assess the wind energy production potential of a site. The Monte Carlo approach is based on historical wind speed data and reserves the effect of autocorrelation ...
Birgir Hrafnkelsson   +2 more
doaj   +1 more source

Monte-Carlo Simulations [PDF]

open access: yesSymposium - International Astronomical Union, 1996
The revision of the Stodółkiewicz's Monte-Carlo code is presented. It treats each superstar as a single star and follows the evolution and motion of all individual stellar objects. The first calculations, for equalmass N-body systems with three-body energy generation accordingly to Spitzer's formulae, show good agreement with the direct N-body ...
openaire   +1 more source

Risk Analysis of Project Scheduling Using Microsoft Excel

open access: yesMatrix: Jurnal Manajemen Teknologi dan Informatika, 2018
Scheduling plays a very important role for the successful implementation of construction projects. One of the biggest risks in scheduling is in terms of project costs and duration uncertainty.
I Nyoman Suardika   +4 more
doaj   +1 more source

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