Kholoud A. Alzahrani

Kholoud A. Alzahrani

*This is an algorithmically generated author record based on publicly available information.

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Kholoud A. Alzahrani has a total of 3 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Efficient decomposition shooting method for tackling two-point boundary value models

    by H. O. Bakodah, Kholoud A. Alzahrani, N. A. Alzaid, Mariam H. Almazmumy

    This research aims to present an efficient numerical method to find approximate numerical solutions for ordinary differential equations (ODEs), specifically, the class of two-point boundary value models. This approach is predicated on coupling the shooting method and the decomposition method, which the method is named as Efficient Decomposition Shooting Method (EDSM). Thus, we provide the complete outline of EDSM, and thereafter, apply it to some test models, comprising linear and nonlinear models. Further, the results are then validated by comparing them to the exact solution and other computational methods. Thus, the proposed method performs excellently over its peers, and is found to converge rapidly to the available exact solution with a good precision.


  • Open Access

    Computational Approach to Third-Order Nonlinear Boundary Value Problems via Efficient Decomposition Shooting Method

    by K. A. Alzahrani, N. A. Alzaid, H. O. Bakodah, M. H. Almazmumy

    The present manuscript proposes a computational approach to efficiently tackle a class of two-point boundary value problems that features third-order nonlinear ordinary differential equations. Specifically, this approach is based upon a combination of the shooting method with a modification of the renowned Adomian decomposition method. The approach starts by transforming the governing BVP into two appropriate initial-value problems, and thereafter, solves the resulting IVPs recurrently. In addition, the application of this method to varied test models remains feasible—of course, this is supported by the competing Runge–Kutta method, among others, and reported through comparison plots and tables.