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...
Main Authors: | Kamal, Marzuk M., Haque, M. Nasimul |
---|---|
פורמט: | Article |
שפה: | English |
יצא לאור: |
BRAC University
2010
|
נושאים: | |
גישה מקוונת: | http://hdl.handle.net/10361/546 |
פריטים דומים
-
Sequential Monte Carlo methods in practice /
יצא לאור: (2001) -
Quantum Monte Carlo methods in condensed matter physics /
יצא לאור: (1998) -
Analysis of uncertainty in different neural network structures using Monte Carlo Dropout
מאת: Islam, Md. Farhadul, et al.
יצא לאור: (2024) -
Analysis of uncertainty in different neural network structures using monte carlo dropout
מאת: Islam, Md. Farhadul, et al.
יצא לאור: (2024) -
Efficient approach for reliability evaluation of distribution system considering momentary interruption
מאת: Ahmed, Tanjil, et al.
יצא לאור: (2021)