CV


FA
Ali Eftekhari

Ali Eftekhari

Assistant Professor

College: Faculty of Mathematics

Department: Applied Mathematics

Degree: Ph.D

CV
FA
Ali Eftekhari

Assistant Professor Ali Eftekhari

College: Faculty of Mathematics - Department: Applied Mathematics Degree: Ph.D |

AN EFFICIENT SINC POLYNOMIAL COLLOCATION APPROACH FOR SOLVING M-DIMENSIONAL STOCHASTIC VOLTERRA INTEGRAL EQUATIONS

Authorsفائزه بهمنی,علی افتخاری
JournalComputational Methods for Differential Equations
IF1.3
Paper TypeFull Paper
Published At2026-04-10
Journal GradeScientific - research
Journal TypeElectronic
Journal CountryIran, Islamic Republic Of
Journal IndexISC ,ISI-Listed ,SCOPUS
KeywordsStochastic Volterra integral equations, Poly, sinc collocation method, Itô integral, m, dimensional Brownian motion process, Gauss, Legendre quadrature, Composite Newton, Cotes quadrature, Error analysis

Abstract

This paper introduces a polynomial sinc-based collocation method, combined with Gauss-Legendre and Newton-Cotes quadrature rules to solve stochastic Volterra integral equations (SVIEs) with a m-dimensional Brownian motion process. The proposed technique employs Lagrange polynomial interpolation at sinc-type collocation nodes to approximate the solution, thereby reducing the SVIE to a system of algebraic equations that can be solved at low to moderate computational cost. A rigorous convergence analysis of the scheme is presented, and several numerical experiments are carried out to illustrate its accuracy, efficiency, and reliability.