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A Generalized Transform Framework for a Nonlinear Model o...
[Submitted on 14 Jun 2026] · 2026-06-18 · via math updates on arXiv.org

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Abstract:This paper develops a generalized transform framework for a logistic--Allee tumor-growth model. The method combines a generalized Laplace transform, Adomian decomposition, Chebyshev--Padé rational reconstruction, and a \(\mu\)-scaled generalized transform to obtain admissible semi-analytical approximations. Comparisons with experimental tumor-growth data show that the resulting compact representations are stable, admissible, and comparable in error to standard numerical reference solutions.

Submission history

From: Hector Carmenate [view email]
[v1] Sun, 14 Jun 2026 05:25:54 UTC (1,084 KB)