Hybrid Mathematical-PINN Model for Tumor-Immune Interaction with Holling Type-II Functional Response and Optimal Control

Code accompanying the article “Hybrid Mathematical-PINN Model for Tumor-Immune Interaction with Holling Type-II Functional Response and Optimal Control”. The package reproduces the dynamical-systems results for the three-variable tumor, hunting-cell and resting-cell model with Holling Type-II responses and tumor-induced immune suppression (baseline parameters of Table 2, μd = 0.05). It contains the RK4 reference solution; the exact analysis of the interior equilibria, including the quintic coexistence condition, the saddle-node bifurcation near w2 = 0.4385 and a count of admissible equilibria over the parameter ranges studied; the Sotomayor conditions for the transcritical bifurcation of the hunting-cell-free equilibrium; the Hopf point and first Lyapunov coefficient; and the regenerated bifurcation diagram (Figure 4) with its limit-cycle envelope. A verification folder holds independent re-implementations of a forward–backward sweep for the Pontryagin optimal-control problem and of a state-only physics-informed neural network, with analytic gradients checked against finite differences. [Scripts used for Figures 1–3 and 5–9 and Table 6 are in the folder.] This version updates the earlier deposit to match the revised article. The code is written in Python (NumPy, SciPy, SymPy, mpmath, Matplotlib); the README gives the run order, expected outputs and run times.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-08
DOI
https://doi.org/10.5281/zenodo.24048600
Primary Topic
Mathematical Biology Tumor Growth
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Hybrid Mathematical-PINN Model for Tumor-Immune Interaction with Holling Type-II Functional Response and Optimal Control

Tewele Assefa Welu
Zenodo (CERN European Organization for Nuclear Research)
Mathematical Biology Tumor Growth
article

Hybrid Mathematical-PINN Model for Tumor-Immune Interaction with Holling Type-II Functional Response and Optimal Control

Tewele Assefa Welu
article en

Abstract

Code accompanying the article “Hybrid Mathematical-PINN Model for Tumor-Immune Interaction with Holling Type-II Functional Response and Optimal Control”. The package reproduces the dynamical-systems results for the three-variable tumor, hunting-cell and resting-cell model with Holling Type-II responses and tumor-induced immune suppression (baseline parameters of Table 2, μd = 0.05). It contains the RK4 reference solution; the exact analysis of the interior equilibria, including the quintic coexistence condition, the saddle-node bifurcation near w2 = 0.4385 and a count of admissible equilibria over the parameter ranges studied; the Sotomayor conditions for the transcritical bifurcation of the hunting-cell-free equilibrium; the Hopf point and first Lyapunov coefficient; and the regenerated bifurcation diagram (Figure 4) with its limit-cycle envelope. A verification folder holds independent re-implementations of a forward–backward sweep for the Pontryagin optimal-control problem and of a state-only physics-informed neural network, with analytic gradients checked against finite differences. [Scripts used for Figures 1–3 and 5–9 and Table 6 are in the folder.] This version updates the earlier deposit to match the revised article. The code is written in Python (NumPy, SciPy, SymPy, mpmath, Matplotlib); the README gives the run order, expected outputs and run times.

Zenodo (CERN European Organization for Nuclear Research)
Mekelle University (ET)
Mathematical Biology Tumor Growth
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon