Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
1997-01-24
Phys. Rev. Lett. 79, 167 (1997)
Physics
Condensed Matter
Disordered Systems and Neural Networks
source and one figure. Submitted to PRL
Scientific paper
10.1103/PhysRevLett.79.167
Consider the length $L_{MM}^E$ of the minimum matching of N points in d-dimensional Euclidean space. Using numerical simulations and the finite size scaling law $< L_{MM}^E > = \beta_{MM}^E(d) N^{1-1/d}(1+A/N+... )$, we obtain precise estimates of $\beta_{MM}^E(d)$ for $2 \le d \le 10$. We then consider the approximation where distance correlations are neglected. This model is solvable and gives at $d \ge 2$ an excellent ``random link'' approximation to $\beta_{MM}^E(d)$. Incorporation of three-link correlations further improves the accuracy, leading to a relative error of 0.4% at d=2 and 3. Finally, the large d behavior of this expansion in link correlations is discussed.
de Monvel Jacques Boutet
Martin Olivier C.
No associations
LandOfFree
Mean field and corrections for the Euclidean Minimum Matching problem 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 Mean field and corrections for the Euclidean Minimum Matching problem, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Mean field and corrections for the Euclidean Minimum Matching problem will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-88028