Barycentric Lagrange interpolation for solving Volterra integral equations of the second kind
Open Access
- 1 January 2020
- journal article
- research article
- Published by IOP Publishing in Journal of Physics: Conference Series
- Vol. 1447 (1), 012002
- https://doi.org/10.1088/1742-6596/1447/1/012002
Abstract
An improved version of Barycentric Lagrange interpolation with uniformly spaced interpolation nodes is established and applied to solve Volterra integral equations of the second kind. The given data function and the unknown functions are transformed into two separate interpolants of the same degree, while the kernel is interpolated twice. The presented technique provides the possibility to reduce the solution of the Volterra equation into an equivalent algebraic linear system in matrix form without any need to apply collocation points. Convergence in the mean of the solution is proved and the error norm estimation is found to be equal to zero. Moreover, the improved Barycentric numerical solutions converge to the exact ones, which ensures the accuracy, efficiency, and authenticity of the presented method.Keywords
This publication has 7 references indexed in Scilit:
- The economized monic Chebyshev polynomials for solving weakly singular Fredholm integral equations of the first kindAsian-European Journal of Mathematics, 2020
- The Method of Successive Approximations (Neumann’s Series) of Volterra Integral Equation of the Second KindPure and Applied Mathematics Journal, 2016
- Solving Volterra integral equations of the second kind by wavelet-Galerkin schemeComputers & Mathematics with Applications, 2012
- Applying a second-kind boundary integral equation for surface tractions in Stokes flowJournal of Computational Physics, 2011
- AN INTEGRAL EQUATION MODELING OF ELECTROMAGNETIC SCATTERING FROM THE SURFACES OF ARBITRARY RESISTANCE DISTRIBUTIONProgress In Electromagnetics Research B, 2008
- The numerical stability of barycentric Lagrange interpolationIMA Journal of Numerical Analysis, 2004
- Barycentric Lagrange InterpolationSiam Review, 2004