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Article . 2018 . Peer-reviewed
License: Elsevier TDM
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Computation of the L∞-Norm Using Rational Interpolation

Authors: P. Schwerdtner; M. Voigt;

Computation of the L∞-Norm Using Rational Interpolation

Abstract

Abstract We propose a greedy interpolation approach to compute the L∞-norm of a possibly irrational L∞-function. We approximate this function by a sequence of rational L∞-functions. For this we use interpolation employing the Loewner matrix framework. In each iteration, the L∞-norm of the rational approximation is computed using established methods. Then a new interpolation point is added where the L∞-norm of the function approximation is attained. This way, the L∞-norm of the approximation converges superlinearly to the L∞-norm of the original function. We illustrate the efficiency of the resulting algorithm for various numerical examples and compare it to state-of-the-art methods.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Average
gold