This work is one of a series of papers that is devoted to the further investigation of polynomial and trigonometric splines of the third order approximation. Polynomial basis splines are better known and therefore more commonly used. However, the use of trigonometric basis splines often provides a smaller approximation error. Here we discuss the interval estimation with the polynomial or trigonometric basis splines which are useful for the approximation of functions with one or two variables. For each grid interval we construct the approximation separately. We construct the interval estimation of approximation also separately on the each grid interval. The one-dimensional polynomial or trigonometric basis splines of the third order approximation are constructed when the values of the function are known in each point of interpolation. Numerical examples are represented.

Original languageEnglish
Title of host publicationProceedings - 24th International Conference on Circuits, Systems, Communications and Computers, CSCC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages117-120
Number of pages4
ISBN (Electronic)9781728165035
DOIs
StatePublished - Jul 2020
Event24th International Conference on Circuits, Systems, Communications and Computers, CSCC 2020 - Platanias, Chania, Crete Island, Greece
Duration: 19 Jul 202022 Jul 2020

Publication series

NameProceedings - 24th International Conference on Circuits, Systems, Communications and Computers, CSCC 2020

Conference

Conference24th International Conference on Circuits, Systems, Communications and Computers, CSCC 2020
Country/TerritoryGreece
CityPlatanias, Chania, Crete Island
Period19/07/2022/07/20

    Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Electrical and Electronic Engineering
  • Computational Mathematics
  • Artificial Intelligence
  • Computer Networks and Communications

    Research areas

  • Interpolation, Interval Estimation, Polynomial splines, Trigonometric Splines

ID: 76977396