Results 21 to 30 of about 1,149,889 (365)

Monte Carlo simulations in the unconstrained ensemble [PDF]

open access: yesPhysical Review E, 2021
The unconstrained ensemble describes completely open systems whose control parameters are chemical potential, pressure, and temperature. For macroscopic systems with short-range interactions, thermodynamics prevents the simultaneous use of these intensive variables as control parameters, because they are not independent and cannot account for the ...
Stefano Ruffo   +6 more
openaire   +7 more sources

Optimal Control Methods of Experiment Times in System-of-Systems Combat Computer Simulation [PDF]

open access: yesITM Web of Conferences, 2019
In the process of scheme optimization, in order to eliminate the influence of random factor, it needs to conduct computer simulation of Monte Carlo. Therefore, it is proposed to introduce confidence interval into systemof-systems combat simulation, and ...
Zhao Zhiqiang, Zhou Feiyue
doaj   +1 more source

PERHITUNGAN VaR PORTOFOLIO SAHAM MENGGUNAKAN DATA HISTORIS DAN DATA SIMULASI MONTE CARLO

open access: yesE-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

A Sensitivity and Robustness Analysis of GPR and ANN for High-Performance Concrete Compressive Strength Prediction Using a Monte Carlo Simulation

open access: yesSustainability, 2020
This study aims to analyze the sensitivity and robustness of two Artificial Intelligence (AI) techniques, namely Gaussian Process Regression (GPR) with five different kernels (Matern32, Matern52, Exponential, Squared Exponential, and Rational Quadratic ...
D. Dao   +6 more
semanticscholar   +1 more source

Efficient Monte Carlo Calculations of the One-Body Density [PDF]

open access: yes, 2006
An alternative Monte Carlo estimator for the one-body density rho(r) is presented. This estimator has a simple form and can be readily used in any type of Monte Carlo simulation.
Assaraf, Roland   +2 more
core   +5 more sources

PERBANDINGAN HASIL PERHITUNGAN PREMI ASURANSI JIWA ENDOWMENT SUKU BUNGA VASICEK DENGAN DAN TANPA SIMULASI MONTE CARLO

open access: yesE-Jurnal Matematika, 2017
Vasicek is one of the stochastic interest rate model that can capture interest rates movement. The aim of this research was to get the comparison of the level premium for an endowment life insurance under stochastic interest rate without and by using ...
DESI KURNIA SARI   +2 more
doaj   +1 more source

Accelerated Quantum Monte Carlo with Mitigated Error on Noisy Quantum Computer

open access: yesPRX Quantum, 2021
Quantum Monte Carlo and quantum simulation are both important tools for understanding quantum many-body systems. As a classical algorithm, quantum Monte Carlo suffers from the sign problem, preventing its application to most fermion systems and real-time
Yongdan Yang, Bing-Nan Lu, Ying Li
doaj   +1 more source

Quasi Monte Carlo for Periodic Review in Inventory Systems [PDF]

open access: yesE3S 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
doaj   +1 more source

The Coupled Electronic-Ionic Monte Carlo Simulation Method [PDF]

open access: yes, 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
core   +2 more sources

Examining the Value of Monte Carlo Simulation for Project Time Management

open access: yesManagement, 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

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