Results 11 to 20 of about 161,383 (266)
Journal of Nuclear Engineering, 2023 The Monte Carlo neutron transport method is used to accurately estimate various quantities, such as k-eigenvalue and integral neutron flux. However, in the case of estimating a distribution of a desired quantity, the Monte Carlo method does not typically
Delgersaikhan Tuya, Yasunobu Nagaya
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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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EFFECT OF THE UNIFORM FISSION SOURCE METHOD ON LOCAL POWER VARIANCE IN FULL CORE SERPENT CALCULATION [PDF]
EPJ Web of Conferences, 2021 One of challenges of the Monte Carlo full core simulations is to obtain acceptable statistical variance of local parameters throughout the whole reactor core at a reasonable computation cost.
Bilodid Yurii, Leppänen Jaakko
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International Astronomical Union Colloquium, 1971 AbstractWe give here a detailed technical description of a Monte Carlo scheme for the dynamical evolution of spherical stellar systems. The philosophy of the method, as well as a few illustrative results, are given elsewhere (Hénon, 1971, hereafter called I).
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Simulação do equilíbrio: o método de Monte Carlo Equilibrium simulation: Monte Carlo method
Química Nova, 2007 We make several simulations using the Monte Carlo method in order to obtain the chemical equilibrium for several first-order reactions and one second-order reaction. We study several direct, reverse and consecutive reactions.
Alejandro López-Castillo +1 more
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PERHITUNGAN VaR PORTOFOLIO SAHAM MENGGUNAKAN DATA HISTORIS DAN DATA SIMULASI MONTE CARLO
E-Jurnal Matematika, 2012 Value at Risk (VaR) is the maximum potential loss on a portfolio based on the probability at a certain time. In this research, portfolio VaR values calculated from historical data and Monte Carlo simulation data.
WAYAN ARTHINI +2 more
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Optimal Monte Carlo method in estimating areas
Results in Applied Mathematics, 2021 It is well known that Monte Carlo method can be used to estimate the area of a region which cannot be computed directly. There are a lot of ways to choose a larger region whose area is computable when one performs Monte Carlo method, but which region is ...
Zhenxia Liu
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Modeling of lactose enzymatic hydrolysis using Monte Carlo method
Electronic Journal of Biotechnology, 2019 Background: Mathematical modeling is useful in the analysis, prediction, and optimization of an enzymatic process. Unlike the conventional modeling methods, Monte Carlo method has special advantages in providing representations of the molecule’s spatial ...
Ling Gao +6 more
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Multilevel Monte Carlo methods [PDF]
Acta Numerica, 2013 Monte Carlo methods are a very general and useful approach for the estimation of expectations arising from stochastic simulation. However, they can be computationally expensive, particularly when the cost of generating individual stochastic samples is very high, as in the case of stochastic PDEs.
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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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