Fractional calculus models complicated systems that exhibit memory effects, showing much greater potential than classical integer-order derivatives in modeling chaotic systems. In this study, we investigate the application of two numerical interpolation methods, Newton and Lagrange polynomials, for solving a fractional-order Lorenz-type chemical model based on various fractional derivatives. The Lorenz-type model is modified, as it is known for its chaotic behavior, and augmented to allow for modeling chemical reactions, with variable-order fractional derivatives to reflect reality. We utilize numerical schemes for the Caputo-Liouville, Caputo-Fabrizio, and Atangana-Baleanu-Caputo fractional derivatives, and we assess the performance of the Newton and the Lagrange numerical approximations.
Chemical system Fractional calculus Fractional derivative Lagrange interpolation Newton interpolation
| Primary Language | English |
|---|---|
| Subjects | Applied Mathematics (Other) |
| Journal Section | Articles |
| Authors | |
| Early Pub Date | October 21, 2025 |
| Publication Date | October 23, 2025 |
| Submission Date | July 23, 2025 |
| Acceptance Date | September 29, 2025 |
| Published in Issue | Year 2025 Volume: 8 Issue: 4 |
Journal of Mathematical Sciences and Modelling
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