A general extrapolation procedure revisited
Copyright policy ) C. Brezinski; REDIVO ZAGLIA, MICHELA;
A general extrapolation procedure revisited
The authors give a new derivation of the E-algorithm based on the concept of the annihilation difference operator and a remainder estimate. Also, this approach leads to new results and properties of the E-algorithm. Several extensions are discussed.
Italy
- University of Padua Italy
- University of Lille France
annihilation difference operator, Extrapolation to the limit, deferred corrections, Convergence acceleration; Extrapolation, remainder estimate, extrapolation, convergence acceleration, E-algorithm
annihilation difference operator, Extrapolation to the limit, deferred corrections, Convergence acceleration; Extrapolation, remainder estimate, extrapolation, convergence acceleration, E-algorithm
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).22 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.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
selected citations
Citations provided by BIP!
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).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 22
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