Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4965349 | Computers & Geosciences | 2017 | 11 Pages |
Abstract
In this paper the RBF approximation methods are briefly described, a new approach to the RBF approximation of big datasets is presented, and a comparison for different Compactly Supported RBFs (CS-RBFs) is made with respect to the accuracy of the computation. The proposed approach uses symmetry of a matrix, partitioning the matrix into blocks and data structures for storage of the sparse matrix. The experiments are performed for synthetic and real datasets.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Zuzana Majdisova, Vaclav Skala,