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Advanced numerical scheme and its convergence analysis for a class of two-point singular boundary value problems

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  • Sriwastav, Nikhil
  • Barnwal, Amit K.
  • Ramos, Higinio
  • Agarwal, Ravi P.
  • Singh, Mehakpreet

Abstract

In the past decades, many applications related to applied physics, physiology and astrophysics have been modelled using a class of two-point singular boundary value problems (SBVPs). In this article, a novel approach based on the shooting projection method and the Legendre wavelet operational matrix formulation for approximating a class of two-point SBVPs with Dirichlet and Neumann–Robin boundary conditions is proposed. For the new approach, an initial guess is postulated in contrast to the boundary conditions in the first step. The second step deals with the usage of the Legendre wavelet operational matrix method to solve the initial value problem (IVP). Further, the resulting solution of the IVP is utilized at the second endpoint of the domain of a differential equation in a shooting projection method to improve the initial condition. These two steps are repeated until the desired accuracy of the solution is achieved. To support the mathematical formulation, a detailed convergence analysis of the new approach is conducted. The new approach is tested against some existing methods such as various types of the variational iteration method, considering several numerical examples to which it provides high-quality solutions.

Suggested Citation

  • Sriwastav, Nikhil & Barnwal, Amit K. & Ramos, Higinio & Agarwal, Ravi P. & Singh, Mehakpreet, 2024. "Advanced numerical scheme and its convergence analysis for a class of two-point singular boundary value problems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 216(C), pages 30-48.
    • Handle: RePEc:eee:matcom:v:216:y:2024:i:c:p:30-48
    DOI: 10.1016/j.matcom.2023.08.037
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    References listed on IDEAS

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    1. Singh, Gurjinder & Garg, Arvind & Kanwar, V. & Ramos, Higinio, 2019. "An efficient optimized adaptive step-size hybrid block method for integrating differential systems," Applied Mathematics and Computation, Elsevier, vol. 362(C), pages 1-1.
    2. Singh, Randhir & Guleria, Vandana & Singh, Mehakpreet, 2020. "Haar wavelet quasilinearization method for numerical solution of Emden–Fowler type equations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 174(C), pages 123-133.
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