A Fast Monte Carlo Algorithm for Site or Bond Percolation
AbstractWe describe in detail a new and highly effcient algorithm for studying site or bond percolation on any lattice. The algorithm can measure an observable quantity in a percolation system for all values of the site or bond occupation probability from zero to one in an amount of time which scales linearly with the size of the system. We demonstrate our algorithm by using it to investigate a number of issues in percolation theory, including the position of the percolation transition for site percolation on the square lattice, the stretched exponential behavior of spanning probabilities away from the critical point, and the size of the giant component for site percolation on random graphs.
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Bibliographic InfoPaper provided by Santa Fe Institute in its series Working Papers with number 01-02-010.
Date of creation: Feb 2001
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This paper has been announced in the following NEP Reports:
- NEP-EVO-2001-07-17 (Evolutionary Economics)
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