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https://doi.org/10.1109/cdc.20...
Article . 2010 . Peer-reviewed
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An ISS and l-stability approach to forward error analysis of iterative numerical algorithms

Authors: Ammar Hasan; Eric C. Kerrigan; George A. Constantinides;

An ISS and l-stability approach to forward error analysis of iterative numerical algorithms

Abstract

In this paper we have used results from ISS and l ∞ -stability theory to find a systematic way of finding bounds on the forward error and the maximum finite precision error. The proposed approach is applied on the successive iteration method and the classical iterative methods. The obtained forward error bound is numerically observed to be tighter than the bounds given in the numerical analysis literature. Moreover, in contrast to bounds in the numerical analysis literature for the successive iteration method, the bound obtained using a control approach does not involve the solution of the problem. Although the proposed scheme provides a new systematic way for forward error analysis, we note that the conditions of ISS and l ∞ -stability might be restrictive and not all algorithms will satisfy them.

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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!
2
Average
Average
Average