Comparative Analysis of Polynomials with Their Computational Costs
Abstract
In this article, we explore the effectiveness of two polynomial methods in solving non-linear time and space fractional partial differential equations. We first outline the general methodology and then apply it to five distinct experiments. The proposed method, noted for its simplicity, demonstrates a high degree of accuracy. Comparative analysis with existing techniques reveals that our approach yields more precise solutions. The results, presented through graphs and tables, indicate that He's and Daftardar-Jafari polynomials significantly enhance accuracy. Additionally, we provide an in-depth discussion on the computational costs associated with these polynomials. Due to its straightforward implementation, the proposed method can be extended for application to a broader range of problems.
Cite
@article{arxiv.2411.00487,
title = {Comparative Analysis of Polynomials with Their Computational Costs},
author = {Qasim Khan and Anthony Suen},
journal= {arXiv preprint arXiv:2411.00487},
year = {2024}
}