Crossmark

Main Article Content


Abstract

The Variational Iteration Method (VIM) has proven to be a powerful technique for solving both ordinary and partial differential equations. However, its reliance on Lagrange multipliers for each type of equation has posed significant limitations, complicating its application and reducing its efficiency. This study introduces a Modified Variational Iteration Method (MVIM) that eliminates the need for Lagrange multipliers, addressing these challenges. The MVIM reformulates the correctional functional, simplifying the solution process and enhancing computational efficiency. The method is applied to both linear and nonlinear ordinary and partial differential equations, demonstrating its ability to provide accurate and fast-converging solutions. Numerical examples show that the MVIM outperforms traditional VIM in terms of computational time and convergence speed, and compares favourably with other methods such as the Adomian Decomposition Method (ADM) and New Iteration Method (NIM). The results highlight the potential of MVIM as a versatile and efficient tool for solving complex differential equations in a variety of scientific and engineering applications.

Downloads

Download data is not yet available.

Citation Metrics & Similar Scopus Articles

Data source Crossref
1
citations
Citation counts are source-specific and may differ because database coverage, reference matching, and update schedules are different. Counts are not added together. Crossref values represent citation links registered and matched by Crossref.
Check Secondary Documents in Scopus
Open this article in Scopus, then check the Secondary documents tab. Use Manual Citation Fallback only for counts you have verified manually.
Open in Scopus
Similar Scopus Articles
Scopus
  1. Huang L. (2027)
    Biomimetic Gradient Porous Core–Shell Fibers with Enhanced Gas Sensing for CO-Temperature Dual-Mode Early Fire Warning
    Nano Micro Letters, 19(1)
  2. Yan R. (2027)
    Enhanced Antibiotics Sieving by Exfoliated TiS2 Membranes via Surface Functionalization and Passivation
    Nano Micro Letters, 19(1)
  3. Wang X. (2027)
    Polymorphic Transformation and Dislocation Regulation in MoS2 Enabled by Electric Field Postprocessing for Enhanced Electromagnetic Wave Absorption
    Nano Micro Letters, 19(1)

Article Details

How to Cite
Hassan, A., Adamu, M. Y., Madaki, A. G., Nehemiah, Y., Cornelius, M., & Nasir, U. M. (2025). An Enhanced Variational Iteration Method for Solving Ordinary and Partial Differential Equations. Journal of Multidisciplinary Science: MIKAILALSYS, 3(2), 470-489. https://doi.org/10.58578/mikailalsys.v3i2.5317

References

Abdou, M. A., Soliman, A. A., & Aty, M. A. A. (2020). On a discussion of Volterra – Fredholm integral equation with discontinuous kernel. Journal of the Egytian Mathematical Society, 28(11), 1–10.

Al-Mdallal, Q. A., Al-Khazali, H. A., & Abbas, S. M. (2016). Modified variational iteration method for solving nonlinear equations. Journal of Computational and Applied Mathematics, 290, 89-101.

Goswami, P., & Alqahtani, R. T. (2016). Solutions of fractional differential equations by Sumudu transform and variational iteration method. J. Nonlinear Sci. Appl, 9(2016), 1944–1951.

Hamoud, A. A., & Ghadle, K. P. (2016). On The Numerical Solution of Nonlinear Volterra-Fredholm Integral Equations by Variational Iteration Method. June 2017.

He, J. (2007). Variational iteration method — Some recent results and new interpretations. 207, 3–17. https://doi.org/10.1016/j.cam.2006.07.009

He, J. H., & Wu, X. H. (2007). Variational iteration method: New development and applications. Computers and Mathematics with Applications, 54(7–8), 881–894. https://doi.org/10.1016/j.camwa.2006.12.083

Mamun, A. Al, & Tao, W. (2019). Solution of Volterra ’ s Integro-Differential Equations by Using Variational Iteration Method. May, 1–9. https://doi.org/10.20944/preprints201905.0164.v1

Mechee, M. S., Ramahi, A. M. Al, & Kadum, R. M. (2016). Applications of Variational Iteration Method for Solving A Class of Volterra Integral Equations. 9.

Porshokouhi, M. G., & Ghanbari, B. (2011). Variational Iteration Method for Solving Volterra and Fredholm Integral Equations of the Second Kind. 2(1), 143–148.

Saleh, M. H. (2016). Variational Iteration Method for Solving Two Dimensional Volterra - Fredholm Nonlinear Integral Equations. 152(3), 29–33.

Scheiber, E., & Brasov, U. T. (2019). On the Variational Iteration Method for the Nonlinear Volterra Integral Equation. AMS Researchgate, 1(July), 1–8.

Wu, G. (2015). Challenge in the variational iteration method – A new approach to identification of the Lagrange multipliers. Journal of King Saud University - Science, 25(2), 175–178. https://doi.org/10.1016/j.jksus.2012.12.002

Yildirim, E. (2013). An overview of the variational iteration method and its applications. Mathematical Methods in the Applied Sciences, 36(11), 1439-1450.

Zongo, G., So, O., & Barro, G. (2024). Variational Iteration Method on Linear and Nonlinear Schrödinger’S Equations. International Journal of Numerical Methods and Applications, 24(2), 181–192. https://doi.org/10.17654/0975045224012

Most read articles by the same author(s)