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Theoretical Computer Science
Article
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Theoretical Computer Science
Article . 1985
License: Elsevier Non-Commercial
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Theoretical Computer Science
Article . 1985 . Peer-reviewed
License: Elsevier Non-Commercial
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The complexity of evaluating interpolation polynomials

Authors: H-J Stoss;

The complexity of evaluating interpolation polynomials

Abstract

It is well known that the complexity of computing all coefficients of the Lagrangian interpolation polynomial for n nodes and n values is of order n log n. Proving in this paper a more general theorem with respect to the complexity bounds of the tasks of computing the coefficients of the Lagrangian interpolation polynomials, the author derives from this the previous result about the complexity order n log n.

Keywords

Numerical interpolation, Analysis of algorithms and problem complexity, coefficients of the Lagrangian interpolation polynomial, complexity bounds, Interpolation in approximation theory, Theoretical Computer Science, Computer Science(all)

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citations
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!
10
Top 10%
Average
Average
hybrid