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Efficient Decomposition Shooting Method for Solving Third-Order Boundary Value Problems

Efficient Decomposition Shooting Method for Solving Third-Order Boundary Value Problems
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摘要 The present paper proposes a mathematical method to numerically treat a class of third-order linear Boundary Value Problems (BVPs). This method is based on the combination of the Adomian Decomposition Method (ADM) and, the modified shooting method. A complete derivation of the proposed method has been provided, in addition to its numerical implementation and, validation via the utilization of the Runge-Kutta method and, other existing methods. The method has been applied to diverse test problems and turned out to perform remarkably. Lastly, the simulated numerical results have been graphically illustrated and, also supported by some absolute error comparison tables. The present paper proposes a mathematical method to numerically treat a class of third-order linear Boundary Value Problems (BVPs). This method is based on the combination of the Adomian Decomposition Method (ADM) and, the modified shooting method. A complete derivation of the proposed method has been provided, in addition to its numerical implementation and, validation via the utilization of the Runge-Kutta method and, other existing methods. The method has been applied to diverse test problems and turned out to perform remarkably. Lastly, the simulated numerical results have been graphically illustrated and, also supported by some absolute error comparison tables.
作者 Nawal Al-Zaid Kholoud Alzahrani Huda Bakodah Mariam Al-Mazmumy Nawal Al-Zaid;Kholoud Alzahrani;Huda Bakodah;Mariam Al-Mazmumy(Department of Mathematics, Faculty of Science, University of Jeddah, Jeddah, Saudi Arabia)
出处 《International Journal of Modern Nonlinear Theory and Application》 2023年第3期81-98,共18页 现代非线性理论与应用(英文)
关键词 Linear Third Order BVPs Shooting Method Adomian Decomposition Method Two-Point Boundary Value Problem Linear Third Order BVPs Shooting Method Adomian Decomposition Method Two-Point Boundary Value Problem
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