Results 21 to 30 of about 852,908 (291)
Benchmark of a new multi-ion-species collision operator for $\delta f$ Monte Carlo neoclassical simulation [PDF]
, 2020 A numerical method to implement a linearized Coulomb collision operator in the two-weight $\delta f$ Monte Carlo method for multi-ion-species neoclassical transport simulation is developed.
122862 +15 more
core +3 more sources
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
doaj +1 more source
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).
openaire +1 more source
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
doaj +1 more source
Optimized Monte Carlo Method for glasses [PDF]
, 2006 A new Monte Carlo algorithm is introduced for the simulation of supercooled liquids and glass formers, and tested in two model glasses. The algorithm is shown to thermalize well below the Mode Coupling temperature and to outperform other optimized Monte ...
Fernandez, L. A. +2 more
core +6 more sources
Auxiliary Field Diffusion Monte Carlo calculation of nuclei with A<40 with tensor interactions [PDF]
, 2007 We calculate the ground-state energy of 4He, 8He, 16O, and 40Ca using the auxiliary field diffusion Monte Carlo method in the fixed phase approximation and the Argonne v6' interaction which includes a tensor force.
Fantoni, S. +3 more
core +1 more source
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
doaj +1 more source
Jurnal Lebesgue, 2023 The development of palm oil production is quite rapid in Indonesia. The method used to estimate inventory costs in this study is the Monte Carlo Simulation method. Monte Carlo simulation is used in structuring optimal raw material policies.
Cindy Artika +2 more
doaj +1 more source
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.
openaire +3 more sources
Frontiers in Environmental Science, 2019 This paper focuses on reducing the computational cost of the Monte Carlo method for uncertainty propagation. Recently, Multi-Fidelity Monte Carlo (MFMC) method (Ng, 2013; Peherstorfer et al., 2016) and Multi-Level Monte Carlo (MLMC) method (Müller et al.,
Nagoor Kani Jabarullah Khan +1 more
doaj +1 more source