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- OpenAccess
A Fast Monte Carlo Method Based on an Acceptance-Rejection Scheme for Particle Coagulation
並列摘要
A fast acceptance-rejection scheme that can boost the performance of Monte Carlo methods for particle coagulation has been designed and validated in this article. The central idea behind this scheme is to perform a fast evaluation of the maximum coagulation rate by making full use of the information of those particle pairs that are already generated to determine the desired coagulation pair. To this end, numerical experiments are carried out to establish a connection between the average coagulation rate obtained from information of those already generated particle pairs and the maximum coagulation rate. The correctness of the proposed scheme is then validated by comparing it to some established methods, adopting a physically realistic Brownian coagulation kernel. The computational efficiency of the fast AR scheme is finally measured.
延伸閱讀
- Murtazaev, A. K., & Ibaev, J. G. (2012). Investigation of Multicritical Phenomena in ANNNI Model by Monte Carlo Methods. Physics Research International, 2012(), 304-307. https://doi.org/10.1155/2012/730812
- 沈采瑱、黃財尉（2019）。The Accuracy of Dichotomous BW Probabilistic Models: A Monte Carlo Study。測驗學刊，66(4)，347-375。https://www.airitilibrary.com/Article/Detail?DocID=16094905-201912-202003020007-202003020007-347-375
- 黃冠霖（2013）。Evaluation of Parallelization of the Least-Squares Monte Carlo Method〔碩士論文，國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2013.10561
- Ho, C. Y. (2016). Accelerating Monte Carlo Simulation for Photon Therapy with Heterogeneous Computing [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU201603202
- Freschi, V., & Bogliolo, A. (2011). A Monte Carlo Method for Assessing the Quality of Duplication-Aware Alignment Algorithms. Evolutionary Bioinformatics, (2011), 31-40. https://doi.org/10.4137/EBO.S6662