Results 21 to 30 of about 1,338,709 (361)
An introduction to Monte Carlo methods [PDF]
Physica A: Statistical Mechanics and its Applications, 2015 Monte Carlo simulations are methods for simulating statistical systems. The aim is to generate a representative ensemble of configurations to access thermodynamical quantities without the need to solve the system analytically or to perform an exact enumeration. The main principles of Monte Carlo simulations are ergodicity and detailed balance.
Gerard T. Barkema +2 more
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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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Self-learning Monte Carlo method [PDF]
, 2016 Monte Carlo simulation is an unbiased numerical tool for studying classical and quantum many-body systems. One of its bottlenecks is the lack of a general and efficient update algorithm for large size systems close to the phase transition, for which ...
Junwei Liu, Yang Qi, Z. Meng, L. Fu
semanticscholar +1 more source
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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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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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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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
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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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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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Self-learning quantum Monte Carlo method in interacting fermion systems [PDF]
, 2016 The self-learning Monte Carlo method is a powerful general-purpose numerical method recently introduced to simulate many-body systems. In this work, we extend it to an interacting fermion quantum system in the framework of the widely used determinant ...
Xiao Yan Xu +4 more
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