Skip to main navigation Skip to search Skip to main content

Polynomial Spline Collocation Method for Solving Weakly Regular Volterra Integral Equations of the First Kind

  • Aleksandr N. Tynda
  • , Samad Noeiaghdam
  • , Denis N. Sidorov*
  • *Corresponding author for this work
  • Penza State University
  • Irkutsk National Research Technical University
  • South Ural State University
  • Melent'ev Institute of Power Engineering Systems
  • Irkutsk State University

Research output: Contribution to journalArticlepeer-review

Abstract

The polynomial spline collocation method is proposed for solution of Volterra integral equations of the first kind with special piecewise continuous kernels. The Gauss-type quadrature formula is used to approximate integrals during the discretization of the proposed projection method. The estimate of accuracy of approximate solution is obtained. Stochastic arithmetics is also used based on the Contrôle et Estimation Stochastique des Arrondis de Calculs (CESTAC) method and the Control of Accuracy and Debugging for Numerical Applications (CADNA) library. Applying this approach it is possible to find optimal parameters of the projective method. The numerical examples are included to illustrate the efficiency of proposed novel collocation method.

Original languageEnglish
Pages (from-to)62-79
Number of pages18
JournalBulletin of Irkutsk State University, Series Mathematics
Volume39
DOIs
StatePublished - 2022
Externally publishedYes

Keywords

  • CADNA library
  • CESTAC method
  • convergence
  • discontinuous kernel
  • integral equation
  • spline collocation method

Fingerprint

Dive into the research topics of 'Polynomial Spline Collocation Method for Solving Weakly Regular Volterra Integral Equations of the First Kind'. Together they form a unique fingerprint.

Cite this