Generalised Atmospheric Rosenbluth Methods (GARM)

Details Generalised Atmospheric Rosenbluth Methods (GARM) Generalised Atmospheric Rosenbluth Methods (GARM)

2008-06-18

arxiv.org/abs/0806.3097v1

Physics

Condensed Matter

Statistical Mechanics

Scientific paper

We show that the classical Rosenbluth method for sampling self-avoiding walks can be extended to a general algorithm for sampling many families of objects, including self-avoiding polygons. The implementation relies on an elementary move which is a generalisation of kinetic growth; rather than only appending edges to the endpoint, edges may be inserted at any vertex providing the resulting objects still lie within the same family. We implement this method using pruning and enrichment to sample self-avoiding walks and polygons. The algorithm can be further extended by mixing it with length-preserving moves, such pivots and crank-shaft moves.

Affiliated with

Also associated with

No associations

Rating

Generalised Atmospheric Rosenbluth Methods (GARM) does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Generalised Atmospheric Rosenbluth Methods (GARM), we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Generalised Atmospheric Rosenbluth Methods (GARM) will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-561986