4.7 Article

Hermite Fitted Block Integrator for Solving Second-Order Anisotropic Elliptic Type PDEs

期刊

FRACTAL AND FRACTIONAL
卷 6, 期 9, 页码 -

出版社

MDPI
DOI: 10.3390/fractalfract6090497

关键词

anisotropic elliptic PDEs; block integrator; collocation strategy; convergence analysis; discritization; hermite fitted; second-order PDEs; system of second-order ODEs

资金

  1. National Natural Science Foundation of China [71601072]
  2. Fundamental Research Funds for the Universities of Henan Province [NSFRF210314]
  3. Innovative Research Team of Henan Polytechnic University [T2022-7]

向作者/读者索取更多资源

A Hermite fitted block integrator (HFBI) was developed and analyzed for solving second-order anisotropic elliptic partial differential equations (PDEs). The HFBI showed convergence order of eight, stability, and accuracy when applied to obtain approximate solutions for the PDEs. Comparisons with other existing methods validated the competitiveness of the proposed HFBI.
A Hermite fitted block integrator (HFBI) for numerically solving second-order anisotropic elliptic partial differential equations (PDEs) was developed, analyzed, and implemented in this study. The method was derived through collocation and interpolation techniques using the Hermite polynomial as the basis function. The Hermite polynomial was interpolated at the first two successive points, while the collocation occurred at all the suitably chosen points. The major scheme and its complementary scheme were united together to form the HFBI. The analysis of the HFBI showed that it had a convergence order of eight with small error constants, was zero-stable, absolutely-stable, and satisfied the condition for convergence. In order to confirm the usefulness, accuracy, and efficiency of the HFBI, the method of lines approach was applied to discretize the second-order anisotropic elliptic partial differential equation PDE into a system of second-order ODEs and consequently used the derived HFBI to obtain the approximate solutions for the PDEs. The computed solution generated by using the HFBI was compared to the exact solutions of the problems and other existing methods in the literature. The proposed method compared favorably with other existing methods, which were validated through test problems whose solutions are presented in tabular form, and the comparisons are illustrated in the curves.

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