@Article{JCM-39-6,
author = {Zuoqiang, Shi and Wang, Bao},
title = {Convergence of the Weighted Nonlocal Laplacian on Random Point Cloud},
journal = {Journal of Computational Mathematics},
year = {2021},
volume = {39},
number = {6},
pages = {865--879},
abstract = {<p style="text-align: justify;">We analyze the convergence of the weighted nonlocal Laplacian (WNLL) on the high dimensional randomly distributed point cloud. Our analysis reveals the importance of the scaling weight, $\mu \sim |P|/|S|$ with $|P|$ and $|S|$ being the number of entire and labeled data, respectively, in WNLL. The established result gives a theoretical foundation of the WNLL for high dimensional data interpolation.</p>},
issn = {1991-7139},
doi = {https://doi.org/10.4208/jcm.2104-m2020-0309},
url = {https://global-sci.com/article/84274/convergence-of-the-weighted-nonlocal-laplacian-on-random-point-cloud}
}