An operational matrix based scheme for numerical solutions of nonlinear weakly singular partial integro-differential equations
S. Behera and
S. Saha Ray
Applied Mathematics and Computation, 2020, vol. 367, issue C
Abstract:
In this article, we introduce an operational matrix scheme based on two-dimensional wavelets for the Volterra weakly singular nonlinear partial integro-differential equations. By implementing two-dimensional wavelets approximations and its operational matrices of integration and differentiation along with collocation points, the weakly singular partial integro-differential equations are reduced into the system of nonlinear algebraic equations. Moreover, Bernoulli wavelet approximation and Legendre wavelet approximation have been used for inspecting the errors and convergence analysis of the given problems. Some numerical examples are included to establish the accuracy of the proposed scheme via Bernoulli wavelet approximation and Legendre wavelet approximation respectively. Additionally, comparisons of error values between the two wavelets have been presented.
Keywords: Weakly singular partial integro-differential equation; Bernoulli wavelets; Legendre wavelets; Operational matrix (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300319307635
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:367:y:2020:i:c:s0096300319307635
DOI: 10.1016/j.amc.2019.124771
Access Statistics for this article
Applied Mathematics and Computation is currently edited by Theodore Simos
More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().