Multiresolution kernel matrix algebra
Published in Repository for Publications and Research Data (ETH Zurich) • Jun 1, 2024
NobleIDNI7P27W78R78S25
Authors:,,
Helmut Harbrecht
Michael Multerer
Olaf Schenk
Abstract
We propose a sparse algebra for samplet compressed kernel matrices to enable efficient scattered data analysis. We show that the compression of kernel matrices by means of samplets produces optimally sparse matrices in a certain S-format. The compression can be performed in cost and memory that scal...
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