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Spline Fit Made Easy

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1 Author(s)
Ming-Lei Liou ; Bell Laboratories

In this paper, a new algorithm for a cubic spline fit with equally spaced data points and given end conditions is described. It provides a new understanding of how a spline fit works and possesses the following computational advantages: 1) It can solve large size problems (virtually unlimited). 2) The accuracy can be realistically controlled based on the characteristics of data. 3) The computation time-is linearly proportional to the size of the problem. 4) It can handle a localized fit. 4) It can handle a localizd. The new algorithm is particularly suitable to be implemented in minicomputers for cutting surfaces by numerically controlled machines and for other applications.

Published in:

Computers, IEEE Transactions on  (Volume:C-25 ,  Issue: 5 )

Date of Publication:

May 1976

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