Mathematical analysis of fractional-order glaucoma disease with feedback control using Chebyshev polynomials of sixth kind
- 8 January 2026
- journal article
- research article
- Published by Springer Nature in Journal of Applied Mathematics and Computing
- Vol. 72 (2) , 92
Abstract
No abstract availableKeywords
This publication has 41 references indexed in Scilit:
- Numerical simulation of the smoking model using spectral collocation methodChaos, Solitons & Fractals, 2025
- New insights into disease dynamics and treatment interventions with PID controller-based therapeutic strategies for pancreatic cancerComputers & Mathematics with Applications, 2025
- Emerging trends in long-acting sustained drug delivery for glaucoma managementDrug Delivery and Translational Research, 2025
- A mathematical model with fractional-order dynamics for the combined treatment of metastatic colorectal cancerCommunications in Nonlinear Science and Numerical Simulation, 2023
- Analysis and dynamics of a mathematical model to predict unreported cases of COVID-19 epidemic in MoroccoComputational and Applied Mathematics, 2022
- Advanced shifted sixth-kind Chebyshev tau approach for solving linear one-dimensional hyperbolic telegraph type problemMathematical Sciences, 2022
- Error analysis of finite difference/collocation method for the nonlinear coupled parabolic free boundary problem modeling plaque growth in the arteryApplied Mathematics and Computation, 2021
- An efficient numerical method for solving a class of variable-order fractional mobile-immobile advection-dispersion equations and its convergence analysisChaos, Solitons & Fractals, 2021
- An Efficient Numerical Simulation of a Reaction-Diffusion Malaria Infection Model using B-splines CollocationChaos, Solitons & Fractals, 2021
- An efficient spectral collocation method for the dynamic simulation of the fractional epidemiological model of the Ebola virusChaos, Solitons & Fractals, 2020