Code

Simulating chordal SLE (fast_sle)

This is the package "fast_sle" which contains routines and a sample driver program for generating samples of chordal SLE (Schramm-Loewner evolution). The algorithm used is explained in "A fast algorithm for simulating the chordal Schramm-Loewner evolution" . This code is released under the GNU GPL (General Public License). The file that can be downloaded (fast_sle1.0.tar.gz) is a gzipped tar file, so after downloading it you do
gunzip fast_sle1.0.tar.gz
tar xvf fast_sle1.0.tar
Then read the file README.
Download fast_sle1.0.tar.gz (released July 29, 2005)
This work was supported by the National Science Foundation (DMS-0201566,DMS-0501168). Disclaimer

A Java implementation of this code by Kevin Petrychyn at the University of Regina.



Simulating self-avoiding walks

This is a collection of library routines and a sample driver program for doing Monte Carlo simulations of the self-avoiding walk using the pivot algorithm. It implements the version of the algorithm introduced in "A faster implementation of the pivot algorithm for self-avoiding walks." J. Stat. Phys. 106, 407-429 (2002) This code is released under the GNU GPL (General Public License). The file that can be downloaded (SAW_pivot1.0.tar.gz) is a gzipped tar file, so after downloading it you do
gunzip SAW_pivot1.0.tar.gz
tar xvf SAW_pivot1.0.tar
Then read the file README.
Download SAW_pivot1.0.tar.gz (released September 4, 2003)

There is now a much faster version of the pivot algorithm invented by Nathan Clisby. He plans to release a public version of the code according to his website .


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