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Journal of Computational and Applied Mathematics
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Multivariate interval interpolation

descriptionPublicationkeyboard_double_arrow_right Article 01 Dec 1978 English Publisher:Elsevier BVJournal:Journal of Computational and Applied Mathematics, volume 4, pages 295-300 (issn: 0377-0427, Copyright policy )
Authors: K.L. Majumder; G.P. Bhattacharjee;

doi: 10.1016/0771-050x(78)90029-3

Multivariate interval interpolation

Abstract

AbstractThe problem of multivariate interval interpolation has been defined. Two algorithms for the computation of a multivariate interval interpolating polynomial have been proposed. The algorithms have been compared among themselves with respect to the number of interval arithmetic operations required to compute them and the width of the computed intervals. One of the algorithms is recommended for fast computation and the other for obtaining the most accurate results.

Related Organizations
Keywords

Computational Mathematics, Numerical interpolation, Applied Mathematics, Interval and finite arithmetic, Interpolation in approximation theory, Multivariate Interval Interpolation, Algorithms

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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!
0
Average
Average
Average
hybrid