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Paper detail

Kernel-independent adaptive construction of $\mathcal{H}^2$-matrix approximations

A method for the kernel-independent construction of $\mathcal{H}^2$-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.

preprint2020arXivOpen access
M. BauerM. BebendorfB. Feist
math.NANumerical Analysis
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M. BauerM. BebendorfB. Feist

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