In this study, the numerical solution of tenth-order boundary value problems was obtained by employing the modified variational iteration method with Hermite polynomials. The correction functional is corrected for the boundary value problem (BVP) in this proposed method, and the Lagrange multiplier is optimally constructed using variational theory to reduce iteration on the integral operator while minimizing computational time. There was no need for any form of discretization or linearization with this method. The proposed modification also includes the generation of Hermite polynomials for the given boundary value problem and their use as the approximation's basis function. Four numerical examples were also provided to demonstrate the proposed method's effectiveness and reliability. Furthermore, we compared the results to some previously published findings. Tables 1, 2, and 3 show that our proposed method produces a better approximation to the exact solution than the Kasi Viswanadham & Sreenivasulu method, and Table 4 shows that our proposed method produces a better approximation to the exact solution in a few iterations than the Ali, Esra, Dumitru & Mustafa, and Iqbal et al. approaches, Rehman, Pervaiz, and Hakeem techniques (as can be seen from the tables of results). The calculations were carried out using the Maple 18 software.
Published in | Applied and Computational Mathematics (Volume 11, Issue 4) |
DOI | 10.11648/j.acm.20221104.12 |
Page(s) | 95-101 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2022. Published by Science Publishing Group |
Modified Variational Iteration Method, Boundary Value Problems, Hermite Polynomials, Approximate Solutions
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APA Style
Otaide Ikechukwu Jackson, Ishaq Ajimoti Adam, John Obatarhe Emunefe, Ayinde Muhammed Abdullahi. (2022). The Modified Variational Iteration Method with Hermite Polynomials for the Numerical Solution of Tenth Order Boundary Value Problem. Applied and Computational Mathematics, 11(4), 95-101. https://doi.org/10.11648/j.acm.20221104.12
ACS Style
Otaide Ikechukwu Jackson; Ishaq Ajimoti Adam; John Obatarhe Emunefe; Ayinde Muhammed Abdullahi. The Modified Variational Iteration Method with Hermite Polynomials for the Numerical Solution of Tenth Order Boundary Value Problem. Appl. Comput. Math. 2022, 11(4), 95-101. doi: 10.11648/j.acm.20221104.12
AMA Style
Otaide Ikechukwu Jackson, Ishaq Ajimoti Adam, John Obatarhe Emunefe, Ayinde Muhammed Abdullahi. The Modified Variational Iteration Method with Hermite Polynomials for the Numerical Solution of Tenth Order Boundary Value Problem. Appl Comput Math. 2022;11(4):95-101. doi: 10.11648/j.acm.20221104.12
@article{10.11648/j.acm.20221104.12, author = {Otaide Ikechukwu Jackson and Ishaq Ajimoti Adam and John Obatarhe Emunefe and Ayinde Muhammed Abdullahi}, title = {The Modified Variational Iteration Method with Hermite Polynomials for the Numerical Solution of Tenth Order Boundary Value Problem}, journal = {Applied and Computational Mathematics}, volume = {11}, number = {4}, pages = {95-101}, doi = {10.11648/j.acm.20221104.12}, url = {https://doi.org/10.11648/j.acm.20221104.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acm.20221104.12}, abstract = {In this study, the numerical solution of tenth-order boundary value problems was obtained by employing the modified variational iteration method with Hermite polynomials. The correction functional is corrected for the boundary value problem (BVP) in this proposed method, and the Lagrange multiplier is optimally constructed using variational theory to reduce iteration on the integral operator while minimizing computational time. There was no need for any form of discretization or linearization with this method. The proposed modification also includes the generation of Hermite polynomials for the given boundary value problem and their use as the approximation's basis function. Four numerical examples were also provided to demonstrate the proposed method's effectiveness and reliability. Furthermore, we compared the results to some previously published findings. Tables 1, 2, and 3 show that our proposed method produces a better approximation to the exact solution than the Kasi Viswanadham & Sreenivasulu method, and Table 4 shows that our proposed method produces a better approximation to the exact solution in a few iterations than the Ali, Esra, Dumitru & Mustafa, and Iqbal et al. approaches, Rehman, Pervaiz, and Hakeem techniques (as can be seen from the tables of results). The calculations were carried out using the Maple 18 software.}, year = {2022} }
TY - JOUR T1 - The Modified Variational Iteration Method with Hermite Polynomials for the Numerical Solution of Tenth Order Boundary Value Problem AU - Otaide Ikechukwu Jackson AU - Ishaq Ajimoti Adam AU - John Obatarhe Emunefe AU - Ayinde Muhammed Abdullahi Y1 - 2022/08/17 PY - 2022 N1 - https://doi.org/10.11648/j.acm.20221104.12 DO - 10.11648/j.acm.20221104.12 T2 - Applied and Computational Mathematics JF - Applied and Computational Mathematics JO - Applied and Computational Mathematics SP - 95 EP - 101 PB - Science Publishing Group SN - 2328-5613 UR - https://doi.org/10.11648/j.acm.20221104.12 AB - In this study, the numerical solution of tenth-order boundary value problems was obtained by employing the modified variational iteration method with Hermite polynomials. The correction functional is corrected for the boundary value problem (BVP) in this proposed method, and the Lagrange multiplier is optimally constructed using variational theory to reduce iteration on the integral operator while minimizing computational time. There was no need for any form of discretization or linearization with this method. The proposed modification also includes the generation of Hermite polynomials for the given boundary value problem and their use as the approximation's basis function. Four numerical examples were also provided to demonstrate the proposed method's effectiveness and reliability. Furthermore, we compared the results to some previously published findings. Tables 1, 2, and 3 show that our proposed method produces a better approximation to the exact solution than the Kasi Viswanadham & Sreenivasulu method, and Table 4 shows that our proposed method produces a better approximation to the exact solution in a few iterations than the Ali, Esra, Dumitru & Mustafa, and Iqbal et al. approaches, Rehman, Pervaiz, and Hakeem techniques (as can be seen from the tables of results). The calculations were carried out using the Maple 18 software. VL - 11 IS - 4 ER -