Kernel-independent adaptive construction of $$\mathcal {H}^2$$-matrix approximations
Keyword(s):
AbstractA method for the kernel-independent construction of $$\mathcal {H}^2$$ 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.
2001 ◽
Vol 201
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pp. 19-60
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2014 ◽
Vol 144
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pp. 161-186
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2009 ◽
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pp. 35-57
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2021 ◽
2018 ◽
Vol 21
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pp. 1203-1237
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2015 ◽
Vol 51
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pp. 289-317
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