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SIAM Journal on Numerical Analysis
Article . 1973 . Peer-reviewed
Data sources: Crossref
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Best Summation Formulae and Discrete Splines

Best summation formulae and discrete splines
Authors: Mangasarian, O. L.; Schumaker, L. L.;

Best Summation Formulae and Discrete Splines

Abstract

The problem of obtaining a best summation formula for a finite sequence of real numbers in terms of a fixed number of terms of the sequence is reduced to a solvable linear or quadratic programming problem. This is done by developing the appropriate discrete Taylor and Peano theorems. The best summation formulae are related to discrete splines studied earlier. Discrete monosplines are introduced here and related to best summation formulae. Some numerical results are given.

Keywords

Numerical mathematical programming methods, Acceleration of convergence in numerical analysis, Numerical computation using splines

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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!
37
Top 10%
Top 1%
Top 10%
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