 On collocation-Galerkin method and fractional B-spline functions for a class of stochastic fractional integro-differential equationsI. Masti and K. Sayevand Mathematics and Computers in Simulation (MATCOM), 2024, vol. 216, issue C, 263-287 Abstract: In recent years, as detailed in several monographs, derivations of the fractional differential equations and fractional integral equations are based on random functional or stochastic equations, with the output that physical interpretation of the resulting fractional derivatives and fractional integrals has been elusive. In many different sciences and problems such as biological systems, environmental quality and natural resources engineering, and so on, stochastic equations and in some cases random functional have appeared. Despite the widespread use of stochastic fractional integro-differential equations (SFIDE), the analytical solution of this equation is not easy and in some cases it is impossible. Therefore, the existence of an efficient and appropriate numerical method can solve this problem. Keywords: Caputo derivative; Collocation-Galerkin method; Error analysis; Fractional B-spline functions; Stochastic fractional integro-differential equations (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:216:y:2024:i:c:p:263-287 DOI: 10.1016/j.matcom.2023.09.013 Access Statistics for this article Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier |
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