APPROXIMATION BY CUBIC SPLINE WITH RESPECT TO EUCLIDEAN NORM,

Abstract

The use of a cubic spline function for an interpolation procedure has produced very good results in approximation of derivatives of functions represented by smooth data. If one attempts to construct a cubic spline function for a set of data which contains round off error, this property may be lost. In this paper a 'smoothing' procedure is developed by finding the best cubic spline function, that is, over the class of cubic spline functions, we will determine the one which minimizes the Euclidean norm. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1970
Accession Number
AD0700973

Entities

People

  • Palmer R. Schlegel

Organizations

  • Ballistic Research Laboratory

Tags

DTIC Thesaurus Topics

  • Interpolation
  • Mathematical Analysis
  • Mathematics

Fields of Study

  • Mathematics

Readers

  • Approximation Theory.