Least Squares Cubic Splines.
Abstract
An important feature of ordinary cubic splines results from the conditions of continuity of the function and its first two derivatives that are improved at each data point. Consequently, this method is not useful with experimental data, which is the sum of the true value of a function and some random noise. The authors have combined the least squares criteria with the spline conditions to obtain a set of equations which allow one to perform least squares curve fitting with cubic splines. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 29, 1973
- Accession Number
- AD0774403
Entities
People
- Antonio F. Quesada
- Victor L. Corbin
Organizations
- Air Force Cambridge Research Laboratories