Physics – Condensed Matter – Statistical Mechanics
Scientific paper
2006-06-28
Physics
Condensed Matter
Statistical Mechanics
RevTex, 4 pages + 1 eps figure, Revised version
Scientific paper
We introduce a modification of the well-known Metropolis importance sampling algorithm by using a methodology inspired on the consideration of the reparametrization invariance of the microcanonical ensemble. The most important feature of the present proposal is the possibility of performing a suitable description of microcanonical thermodynamic states during the first-order phase transitions by using this local Monte Carlo algorithm.
Castro Palacio J. C.
Velazquez Luis
No associations
LandOfFree
Metropolis Monte Carlo algorithm based on the reparametrization invariance 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 Metropolis Monte Carlo algorithm based on the reparametrization invariance, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Metropolis Monte Carlo algorithm based on the reparametrization invariance will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-535056