On computing differential transform of nonlinear non-autonomous functions and its applications
Essam. R. El-Zahar, Abdelhalim Ebaid

TL;DR
This paper introduces a new general formula for computing the differential transform of nonlinear non-autonomous functions, enhancing the method's applicability to complex differential and integro-differential equations.
Contribution
A novel general formula and recurrence relations for differential transforms of nonlinear non-autonomous functions, extending existing methods to broader classes of functions.
Findings
Effective in solving complex nonlinear differential equations
Applicable to integro-differential equations with nonlinearities
Simplifies the computation process
Abstract
Although being powerful, the differential transform method yet suffers from a drawback which is how to compute the differential transform of nonlinear non-autonomous functions that can limit its applicability. In order to overcome this defect, we introduce in this paper a new general formula and its related recurrence relations for computing the differential transform of any analytic nonlinear non-autonomous function with one or multi-variable. Regarding, the formula in the literature was found not applicable to deal with the present non-autonomous functions. Accordingly, a generalization is presented in this paper which reduces to the corresponding formula in the literature as a special case. Several test examples for different types of nonlinear differential and integro-differential equations are solved to demonstrate the validity and applicability of the present method. The obtained…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFractional Differential Equations Solutions · Iterative Methods for Nonlinear Equations · Numerical methods for differential equations
