Interpolation Schedule for the Lagrange Formula

descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 1946 English Publisher:Springer Science and Business Media LLCJournal:Nature, volume 157, pages 299-300 (issn: 0028-0836, eissn: 1476-4687,

Copyright policy )

Authors: Soper, A. K.;

doi: 10.1038/157299d0

Interpolation Schedule for the Lagrange Formula

- Summary
- Subjects
- Metrics

Abstract

THE Lagrange interpolation formula is particularly valuable when it is desired to interpolate (or extrapolate to a moderate extent) into a series in which the independent variable moves in unequal steps. The formula takes the form where y takes on values y1, y2... yn for values of x of x1, x2, x3... xn and the value of y = Y for x = X is desired to be interpolated.

Keywords

numerical analysis

Impact byBIP!

	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).	1
	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).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

Found an issue? Give us feedback

1

Average

Upload OA version

Are you the author of this publication? Upload your Open Access version to Zenodo!

It’s fast and easy, just two clicks!

uploadUpload now