Yaver Kamer, Guy Ouillon, Didier Sornette
We present a novel method to estimate the multifractal spectrum of point distributions. The method incorporates two motivated criteria (barycentric pivot point selection and non-overlapping coverage) in order to reduce edge effects, improve precision and reduce computation time. Implementation of the method on synthetic benchmarks demonstrates the superior performance of the proposed method compared with existing alternatives routinely used in the literature. Finally, we use the method to estimate the multifractal properties of the widely studied growth process of Diffusion Limited Aggregation and compare our results with recent and earlier studies. Our tests support the conclusion of a genuine but weak multifractality of the central core of DLA clusters, with Dq decreasing from 1.75+/-0.01 for q=-10 to 1.65+/-0.01 for q=+10.
View original:
http://arxiv.org/abs/1305.7384
No comments:
Post a Comment