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A comparative study between Classical Numerical Methods and Monte Carlo Methods [PDF]

open access: yesالمجلة العراقية للعلوم الاحصائية, 2008
Recently, there is a great interest in the methods of Monte Carlo used for the treatment of different technical and scientific issues. This research deals with using the Monte Carlo methods in numerical integration by making a general comparison between
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

Convergence of Monte Carlo methods for neutron noise [PDF]

open access: yesEPJ Web of Conferences
The neutron noise δφ describes the small variations of the neutron flux around the stationary state φ0, and is typically due to vibrations or oscillations of the core components, induced by fluid-structure interactions and other generally unwanted ...
Fauvel Axel   +3 more
doaj   +1 more source

An LPC pole processing method for enhancing the identification of dominant spectral features

open access: yesElectronics Letters, 2021
This paper proposes a new time‐resolved spectral analysis method based on a modification to the linear predictive coding (LPC) method for enhancing the identification of the dominant frequencies of a signal.
Jin Xu, Mark Davis, Ruairí de Fréin
doaj   +1 more source

Quasi-Monte Carlo methods for Choquet integrals [PDF]

open access: yes, 2015
We propose numerical integration methods for Choquet integrals where the capacities are given by distortion functions of an underlying probability measure.
Nakano, Yumiharu
core   +1 more source

Monte Carlo Methods for the Shapley–Shubik Power Index

open access: yesGames, 2022
This paper deals with the problem of calculating the Shapley–Shubik power index in weighted majority games. We propose an efficient Monte Carlo algorithm based on an implicit hierarchical structure of permutations of players.
Yuto Ushioda   +2 more
doaj   +1 more source

Quasi-Monte Carlo simulation of Brownian sheet with application to option pricing

open access: yesStatistical Theory and Related Fields, 2017
Monte Carlo and quasi-Monte Carlo methods are widely used in scientific studies. As quasi-Monte Carlo simulations have advantage over ordinary Monte Carlo methods, this paper proposes a new quasi-Monte Carlo method to simulate Brownian sheet via its ...
Xinyu Song, Yazhen Wang
doaj   +1 more source

Information-Geometric Markov Chain Monte Carlo Methods Using Diffusions

open access: yesEntropy, 2014
Recent work incorporating geometric ideas in Markov chain Monte Carlo is reviewed in order to highlight these advances and their possible application in a range of domains beyond statistics. A full exposition of Markov chains and their use in Monte Carlo
Samuel Livingstone, Mark Girolami
doaj   +1 more source

Automatic differentiable Monte Carlo: Theory and application

open access: yesPhysical Review Research, 2023
Differentiable programming has emerged as a key programming paradigm empowering rapid developments of deep learning while its applications to important computational methods such as Monte Carlo remain largely unexplored.
Shi-Xin Zhang, Zhou-Quan Wan, Hong Yao
doaj   +1 more source

GENERALIZED SENSITIVITY ANALYSIS CAPABILITY WITH THE DIFFERENTIAL OPERATOR METHOD IN RMC CODE [PDF]

open access: yesEPJ Web of Conferences, 2021
Sensitivity analysis is an important way for us to know how the input parameters will affect the output of a system. Therefore, recently, there is an increased interest in developing sensitivity analysis methods in continuous-energy Monte Carlo Code due ...
Shi Guanlin   +3 more
doaj   +1 more source

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