|
This article is cited in 5 scientific papers (total in 6 papers)
Integro-differential equations and functional analysis
Polynomial spline collocation method for solving weakly regular Volterra integral equations of the first kind
Aleksandr N. Tyndaa, Samad Noeiaghdambc, Denis N. Sidorovbde a Penza State University, Penza, Russian Federation
b Irkutsk National Research Technical University, Irkutsk, Russian Federation
c South Ural State University, Chelyabinsk, Russian Federation
d Energy Systems Institute SB RAS, Irkutsk, Russian Federation
e Irkutsk State University, Irkutsk, Russian Federation
Abstract:
{Polynomial Spline Collocation Method for Solving Weakly Regular Volterra Integral Equations of the First Kind} {Polynomial Spline Collocation Method for Solving Weakly Regular Volterra Integral Equations of the First Kind} 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.
Keywords:
integral equation, discontinuous kernel, spline collocation method, convergence, CESTAC method, CADNA library.
Received: 25.12.2021 Revised: 17.01.2022 Accepted: 21.02.2022
Citation:
Aleksandr N. Tynda, Samad Noeiaghdam, Denis N. Sidorov, “Polynomial spline collocation method for solving weakly regular Volterra integral equations of the first kind”, Bulletin of Irkutsk State University. Series Mathematics, 39 (2022), 62–79
Linking options:
https://www.mathnet.ru/eng/iigum478 https://www.mathnet.ru/eng/iigum/v39/p62
|
Statistics & downloads: |
Abstract page: | 124 | Full-text PDF : | 85 | References: | 26 |
|