<p>This study presents a unified numerical strategy that eliminates higher-order partial derivatives by employing Genocchi wavelets, their operational matrix of integration, and the collocation method for derivative terms. This approach serves as an alternative to traditional iterative methods, which often struggle to handle highly nonlinear problems effectively. The analysis and numerical solution of elliptic partial differential equations are discussed within the framework of the Genocchi Wavelet Collocation Method (GWCM). In this study, we examine the convergence, error estimation, and rapid applicability of the proposed method to a diverse range of problems. The effectiveness of the approach is demonstrated through detailed numerical experiments, with results presented in both tabular and graphical formats for clear comparison. The findings confirm the superior performance of GWCM over traditional methods, particularly under various parameter variations. One of the key advantages of this method is its ease of implementation and computational efficiency. The obtained solutions closely match the exact solutions, and an interesting observation is that for elliptic differential equations with polynomial solutions of finite degree, the method produces zero error. All computations are carried out using the latest version of MATLAB, ensuring accuracy and reliability.</p>

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Superfast computational approach using wavelets for nonlinear elliptic PDEs

  • Vivek Kumar,
  • Manoj Kumar

摘要

This study presents a unified numerical strategy that eliminates higher-order partial derivatives by employing Genocchi wavelets, their operational matrix of integration, and the collocation method for derivative terms. This approach serves as an alternative to traditional iterative methods, which often struggle to handle highly nonlinear problems effectively. The analysis and numerical solution of elliptic partial differential equations are discussed within the framework of the Genocchi Wavelet Collocation Method (GWCM). In this study, we examine the convergence, error estimation, and rapid applicability of the proposed method to a diverse range of problems. The effectiveness of the approach is demonstrated through detailed numerical experiments, with results presented in both tabular and graphical formats for clear comparison. The findings confirm the superior performance of GWCM over traditional methods, particularly under various parameter variations. One of the key advantages of this method is its ease of implementation and computational efficiency. The obtained solutions closely match the exact solutions, and an interesting observation is that for elliptic differential equations with polynomial solutions of finite degree, the method produces zero error. All computations are carried out using the latest version of MATLAB, ensuring accuracy and reliability.