Results 31 to 40 of about 185,877 (166)
Dal'nevostochnyi Matematicheskii Zhurnal, 2020 The article offers a Monte Carlo cluster method for numerically calculating a statistical sample of the state space of vector models. The statistical equivalence of subsystems in the Ising model and quasi-Markov random walks can be used to increase the efficiency of the algorithm for calculating thermodynamic means.
K.V. Makarova +4 more
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Variance-Reduction Methods for Monte Carlo Simulation of Radiation Transport
Frontiers in Physics, 2021 After a brief description of the essentials of Monte Carlo simulation methods and the definition of simulation efficiency, the rationale for variance-reduction techniques is presented.
Salvador García-Pareja +2 more
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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
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Practical methods for GPU-based whole-core Monte Carlo depletion calculation
Nuclear Engineering and Technology, 2023 Several practical methods for accelerating the depletion calculation in a GPU-based Monte Carlo (MC) code PRAGMA are presented including the multilevel spectral collapse method and the vectorized Chebyshev rational approximation method (CRAM).
Kyung Min Kim +3 more
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Simulation and the Monte Carlo Method [PDF]
, 2007 Simulation and the Monte Carlo Method, Third Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the state-of-the-art theory, methods and applications that have emerged in Monte Carlo simulation since the publication of the classic First Edition over more than a quarter of a century ago. While
Rubinstein, Reuven Y., Kroese, Dirk P.
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First and second generation lookback and barrier options: enhancing pricing accuracy through Conditional Monte Carlo [PDF]
Risk Management MagazineThis paper addresses the challenges associated with pricing exotic options, specifically path-dependent ones, with a focus on the limitations of standard Monte Carlo simulations and the advantages provided by Conditional Monte Carlo methods, introduced
Pier Giuseppe Giribone +1 more
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First Principles Methods: A Perspective from Quantum Monte Carlo
Entropy, 2013 Quantum Monte Carlo methods are among the most accurate algorithms for predicting properties of general quantum systems. We briefly introduce ground state, path integral at finite temperature and coupled electron-ion Monte Carlo methods, their merits and
Miguel A. Morales +3 more
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The Phase Transition of the 2D-Ising Model By Using Monte Carlo Method [PDF]
Engineering and Technology Journal, 2011 In this project, the location of the phase transition in the two dimensional Ising model will be determined using Monte Carlo simulation with importance sampling.
Dhia'a Kudeer, Saad. Abood
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Conformity assessment using Monte Carlo methods
Стандартные образцы, 2017 Conformity assessment is the activity to determine whether specified requirements relating to a product, process, system, person or body are fulfilled. Often measurements are used to show that the measurand is within (legal) tolerances.
G.M. van Jos, M. van Alex
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AIP Conference Proceedings, 2003 Polymer simulations make extensive use of biased Monte Carlo schemes. In this paper, I describe a subset of polymer‐simulation algorithms that aim to increase the sampling efficiency by biasing the selection of trial moves. Algorithms that belong to this category are the Configurational Bias MC method (CBMC), Dynamical Pruned Enriched Rosenbluth ...
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