Results 31 to 40 of about 831,537 (291)
A comparative study between Classical Numerical Methods and Monte Carlo Methods [PDF]
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
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The Coupled Electronic-Ionic Monte Carlo Simulation Method [PDF]
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
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Convergence of Monte Carlo methods for neutron noise [PDF]
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
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An LPC pole processing method for enhancing the identification of dominant spectral features
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
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Quasi-Monte Carlo methods for Choquet integrals [PDF]
We propose numerical integration methods for Choquet integrals where the capacities are given by distortion functions of an underlying probability measure.
Nakano, Yumiharu
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Monte Carlo Methods for the Shapley–Shubik Power Index
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
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Quasi-Monte Carlo simulation of Brownian sheet with application to option pricing
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
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Information-Geometric Markov Chain Monte Carlo Methods Using Diffusions
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
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Automatic differentiable Monte Carlo: Theory and application
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
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GENERALIZED SENSITIVITY ANALYSIS CAPABILITY WITH THE DIFFERENTIAL OPERATOR METHOD IN RMC CODE [PDF]
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
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