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Numerical and Stability Investigations of the Waste Plastic Management Model in the Ocean System

Author

Listed:
  • Mohammad Izadi

    (Department of Applied Mathematics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman 76169-14111, Iran)

  • Mahmood Parsamanesh

    (Department of Mathematics, Technical and Vocational University (TVU), Tehran 14357-61137, Iran)

  • Waleed Adel

    (Department of Technology of Informatics and Communications, Université Francaise d’Egypte, Ismailia Desert Road, El Shorouk, Cairo 11837, Egypt
    Department of Mathematics and Engineering Physics, Faculty of Engineering, Mansoura University, Mansoura 35516, Egypt)

Abstract

This study investigates the solution of an ocean waste plastic management system model. The model is represented by a nonlinear system which is divided into three compartments: the waste plastic materials W ( τ ) , marine debris M ( τ ) , and the process of recycling R ( τ ) . These compartments form a simulated model that is solved using two collocation techniques based on a shifted version of the Morgan-Voyce (MV) functions, while the first matrix collocation procedure is directly applied to the given model, in the second approach we fuse the technique of quasilinearization together with the shifted MV (SMV) collocation strategy. Moreover, we give the basic reproduction number and discuss the existence of equilibria and the local stability of equilibria are investigated. The basic definitions of the SMV polynomials are introduced and detailed convergence analysis of the related power series expansion in both weighted L 2 and L ∞ norms are presented. Diverse numerical simulations are performed to prove the accurateness and effectiveness of the presented approaches and the results ate illustrated through tables and figures.

Suggested Citation

  • Mohammad Izadi & Mahmood Parsamanesh & Waleed Adel, 2022. "Numerical and Stability Investigations of the Waste Plastic Management Model in the Ocean System," Mathematics, MDPI, vol. 10(23), pages 1-26, December.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:23:p:4601-:d:993824
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    References listed on IDEAS

    as
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    4. Yüzbaşı, Şuayip & Izadi, Mohammad, 2022. "Bessel-quasilinearization technique to solve the fractional-order HIV-1 infection of CD4+ T-cells considering the impact of antiviral drug treatment," Applied Mathematics and Computation, Elsevier, vol. 431(C).
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