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Abstract

This paper adopts a highly effective numerical approach for approximating non-linear stochastic Volterra integral equations (NLSVIEs) based on the operational matrices of the Walsh function and the collocation method. The method transforms the integral equation into a system of algebraic equations, which allows for the derivation of an approximate solution. Error analysis is performed, confirming the effectiveness of the proposed method, which results in a linear order of convergence. Numerical examples are provided to illustrate the precision and effectiveness of the proposed method.

Details

Title
Numerical approximation of nonlinear stochastic Volterra integral equation based on Walsh function
Author
Paikaray, Prit Pritam 1   VIAFID ORCID Logo  ; Parida, Nigam Chandra 1   VIAFID ORCID Logo  ; Beuria, Sanghamitra 1   VIAFID ORCID Logo  ; Nikan, Omid 2   VIAFID ORCID Logo 

 College of Basic Science and Humanities, Department of Mathematics, Bhubaneswar, India 
 Iran University of Science and Technology, School of Mathematics and Computer Science, Tehran, Iran (GRID:grid.411748.f) (ISNI:0000 0001 0387 0587) 
Publication title
SeMA Journal; Heidelberg
Volume
81
Issue
4
Pages
665-678
Publication year
2024
Publication date
Dec 2024
Publisher
Springer Nature B.V.
Place of publication
Heidelberg
Country of publication
Netherlands
Publication subject
ISSN
22543902
e-ISSN
22817875
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2023-11-29
Milestone dates
2023-11-06 (Registration); 2023-07-21 (Received); 2023-11-06 (Accepted)
Publication history
 
 
   First posting date
29 Nov 2023
ProQuest document ID
3257091124
Document URL
https://www.proquest.com/scholarly-journals/numerical-approximation-nonlinear-stochastic/docview/3257091124/se-2?accountid=208611
Copyright
© The Author(s), under exclusive licence to Sociedad Española de Matemática Aplicada 2023.
Last updated
2025-10-04