A fast tree based cluster labeling algorithm for Monte Carlo simultaitons

A highly efficient tree based algorithm for studying site or bond percolation on any lattice system is described. Our approach is to identify the connectivity of the lattice sites in a single phase and to reduce the redundant computational load in each lattice update. Efficiency increases due to the...

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Bibliographic Details
Main Authors: Kamal, Marzuk M., Haque, M. Nasimul
Format: Article in Journal/Newspaper
Language:English
Published: BRAC University 2005
Subjects:
Online Access:http://hdl.handle.net/10361/546
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author Kamal, Marzuk M.
Haque, M. Nasimul
author_facet Kamal, Marzuk M.
Haque, M. Nasimul
author_sort Kamal, Marzuk M.
collection BRAC University, Bangladesh: Institutional Repository
description A highly efficient tree based algorithm for studying site or bond percolation on any lattice system is described. Our approach is to identify the connectivity of the lattice sites in a single phase and to reduce the redundant computational load in each lattice update. Efficiency increases due to the creation of a multi-branched tree of the pointers of the cluster numbers at the time of investigation of cluster organization. At the later updates, the computational efficiency increases further as the algorithm would have to work only on the randomly chosen lattice sites or bonds instead of traversing the entire lattice.
format Article in Journal/Newspaper
genre The Pointers
genre_facet The Pointers
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language English
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op_relation BRAC University Journal, BRAC University;Vol.2, No.2,pp. 103-106
http://hdl.handle.net/10361/546
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spelling ftbracuniv:oai:localhost:10361/546 2025-01-17T01:06:16+00:00 A fast tree based cluster labeling algorithm for Monte Carlo simultaitons Kamal, Marzuk M. Haque, M. Nasimul 2005 http://hdl.handle.net/10361/546 en eng BRAC University BRAC University Journal, BRAC University;Vol.2, No.2,pp. 103-106 http://hdl.handle.net/10361/546 Percolation Cluster labeling algorithm Monte Carlo method Article 2005 ftbracuniv 2016-04-04T15:19:09Z A highly efficient tree based algorithm for studying site or bond percolation on any lattice system is described. Our approach is to identify the connectivity of the lattice sites in a single phase and to reduce the redundant computational load in each lattice update. Efficiency increases due to the creation of a multi-branched tree of the pointers of the cluster numbers at the time of investigation of cluster organization. At the later updates, the computational efficiency increases further as the algorithm would have to work only on the randomly chosen lattice sites or bonds instead of traversing the entire lattice. Article in Journal/Newspaper The Pointers BRAC University, Bangladesh: Institutional Repository
spellingShingle Percolation
Cluster labeling algorithm
Monte Carlo method
Kamal, Marzuk M.
Haque, M. Nasimul
A fast tree based cluster labeling algorithm for Monte Carlo simultaitons
title A fast tree based cluster labeling algorithm for Monte Carlo simultaitons
title_full A fast tree based cluster labeling algorithm for Monte Carlo simultaitons
title_fullStr A fast tree based cluster labeling algorithm for Monte Carlo simultaitons
title_full_unstemmed A fast tree based cluster labeling algorithm for Monte Carlo simultaitons
title_short A fast tree based cluster labeling algorithm for Monte Carlo simultaitons
title_sort fast tree based cluster labeling algorithm for monte carlo simultaitons
topic Percolation
Cluster labeling algorithm
Monte Carlo method
topic_facet Percolation
Cluster labeling algorithm
Monte Carlo method
url http://hdl.handle.net/10361/546