Kernel-independent adaptive construction of $\mathcal{H}^2$-matrix approximations
Numerical Analysis
2020-06-03 v1 Numerical Analysis
Abstract
A method for the kernel-independent construction of -matrix approximations to non-local operators is proposed. Special attention is paid to the adaptive construction of nested bases. As a side result, new error estimates for adaptive cross approximation~(ACA) are presented which have implications on the pivoting strategy of ACA.
Cite
@article{arxiv.2006.01556,
title = {Kernel-independent adaptive construction of $\mathcal{H}^2$-matrix approximations},
author = {M. Bauer and M. Bebendorf and B. Feist},
journal= {arXiv preprint arXiv:2006.01556},
year = {2020}
}