A new approach to solving local fractional Riccati differential equations using the Adomian-Elzaki method

Erişim
info:eu-repo/semantics/openAccessTarih
2025Erişim
info:eu-repo/semantics/openAccessÜst veri
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Scopus EXPORT DATE: 18 July 2025 @ARTICLE{Aydemir20259122, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105004307532&doi=10.3934%2fmath.2025420&partnerID=40&md5=ca342ff43b02f7637a9d942eb0620210}, affiliations = {Department of Mathematical Engineering, Gumushane University, Gumushane, Turkey; Banking and Insurance Department/Finance, Bayburt University, Bayburt, Turkey}, correspondence_address = {M. Merdan; Department of Mathematical Engineering, Gumushane University, Gumushane, Turkey; email: mmerdan@gumushane.edu.tr}, publisher = {American Institute of Mathematical Sciences}, issn = {24736988}, language = {English}, abbrev_source_title = {AIMS Math.} }Özet
The Elzaki-Adomian decomposition method (EADM) is intended to serve as an efficient analytical method for the resolution of these original fractional-order Riccati differential equations. This can be accomplished permanently by incorporating the Adomian decomposition method with Elzaki. The local fractional derivative is implemented in this format. Particularly in the context of nonlinear differential equations (ODE), this approach is preferred over digital gaps. Additionally, the method’s convergence. Random individuals with uniform, beta, normal, and gamma distributions are used to select the initial conditions or coefficients of the equations. The variance, confidence interval, and expected value of the solutions that are obtained will be determined. MATLAB (2013a) package software will be employed to display the individuals that were brought together, and the results will be analyzed randomly. © 2025 the Author(s), licensee AIMS Press.
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https://www.scopus.com/pages/publications/105004307532https://hdl.handle.net/20.500.12440/6546