Enhanced moving least square method for the solution of volterra integro‑differential equation: an interpolating polynomial | ||||
| Journal of the Egyptian Mathematical Society | ||||
| Article 3, Volume 30, Issue 1, 2022, Page 1-20 PDF (2.48 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.1186/s42787-022-00135-0 | ||||
 View on SCiNiTO | ||||
| Abstract | ||||
| This paper presents an enhanced moving least square method for the solution of volterra integro-differential equation: an interpolating polynomial. It is a numerical scheme that utilizes a modified shape function of the conventional Moving Least Square (MLS) method to solve fourth order Integro-differential equations. Smooth orthogonal polynomials have been constructed and used as the basis functions. A robust and unrestricted trigonometric weight function, along with the basis function, drives the shape function and facilitates the convergence of the scheme. The choice of the support size and some controlling parameters ensures the existence of the moment matrix inverse and the MLS solution. Valid explanation and illustration were made for the existence of the inverse linear operator. To overcome problems of near-singularity, the singular value decomposition rule is used to compute the inverse of the moment matrix. Gauss quadrature rule is used to compute the integral at the initial test points when the exact solution is unknown. Some tested problems were solved to show the applicability of the method. The results obtained compare favourable with the exact solutions. Finally, a highly significant interpolating polynomial is obtained and used to reproduce the solutions over the entire problem domain. The negligible magnitude of the error at each evaluation knot demonstrates the reliability and effectiveness of this scheme. | ||||
| Keywords | ||||
| Moving least square; Volterra integro-differential equation; Interpolating polynomial; Shape function; Weight function | ||||
|
Statistics Article View: 61 PDF Download: 23 |
||||
