By Topic

Cubic-spline interpolation: part 2

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)

The authors discuss an approach to approximation based on interpolating a set of points. The one interpolator that they concentrated on, the cubic spline, is relatively straightforward to implement and can be made to be computationally efficient. They also point out that another approach to approximation involves fitting a curve to a set of data points without forcing that curve to pass through any of those data points. This approach is especially useful when the data available is recognized to contain an error component

Published in:

IEEE Instrumentation & Measurement Magazine  (Volume:4 ,  Issue: 2 )