This paper discusses twice continuously differentiable and three times continuously differentiable approximations with polynomial and non-polynomial splines. To construct the approximation, a polynomial and non-polynomial local basis of the second level and the sixth order approximation is constructed. We call the approximation a second level approximation because it uses the first and the second derivatives of the function. The non-polynomial approximation has the properties of polynomial and trigonometric functions. Here we have also constructed a non-polynomial interpolating spline which has the first, the second and the third continuous derivative. This approximation uses the values of the function at the nodes, the values of the first derivative of the function at the nodes and the values of the second derivative of the function at the ends of the interval [a, b]. The theorems of the approximations are given. Numerical examples are given.

Original languageEnglish
Title of host publicationProceedings - 2nd International Conference on Mathematics and Computers in Science and Engineering, MACISE 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages297-300
Number of pages4
ISBN (Electronic)9781728166957
ISBN (Print)9781728166957
DOIs
StatePublished - Jan 2020
Event2nd International Conference on Mathematics and Computers in Science and Engineering, MACISE 2020 - Madrid, Spain
Duration: 18 Jan 202020 Jan 2020

Publication series

NameProceedings - 2nd International Conference on Mathematics and Computers in Science and Engineering, MACISE 2020

Conference

Conference2nd International Conference on Mathematics and Computers in Science and Engineering, MACISE 2020
Country/TerritorySpain
CityMadrid
Period18/01/2020/01/20

    Research areas

  • smooth non-polynomial splines, smooth polynomial splines

    Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Engineering (miscellaneous)
  • Computational Mathematics
  • Control and Optimization
  • Modelling and Simulation
  • Computational Theory and Mathematics

ID: 71558379