To read this content please select one of the options below:

Robustness of convergence demonstrated byparametric-guiding andcomplex-root-tunneling algorithms for Bratu’s problem

Zhi Liu (Department of Electronic Science, Xiamen University, Xiamen, China)
Tienmo Shih (Department of Electronic Science, Xiamen University, Xiamen, China)
Zhong Chen (Department of Electronic Science, Xiamen University, Xiamen, China)

International Journal of Numerical Methods for Heat & Fluid Flow

ISSN: 0961-5539

Article publication date: 9 September 2021

Issue publication date: 16 May 2022

71

Abstract

Purpose

This study aims to propose the parametric-guiding algorithm, the complex-root (CR) tunneling algorithm and the method that integrates both algorithms for the heat and fluid flow (HFF) community, and apply them to nonlinear Bratu’s boundary-value problem (BVP) and Blasius BVP.

Design/methodology/approach

In the first algorithm, iterations are primarily guided by a diminishing parameter that is introduced to reduce magnitudes of fictitious source terms. In the second algorithm, when iteration-related barriers are encountered, CRs are generated to tunnel through the barrier. At the exit of the tunnel, imaginary parts of CRs are trimmed.

Findings

In terms of the robustness of convergence, the proposed method outperforms the traditional Newton–Raphson (NR) method. For most pulsed initial guesses that resemble pulsed initial conditions for the transient Bratu BVP, the proposed method has not failed to converge.

Originality/value

To the best of the authors’ knowledge, the parametric-guiding algorithm, the CR tunneling algorithm and the method that integrates both have not been reported in the computational-HFF-related literature.

Keywords

Acknowledgements

The work has been supported by National Natural Science Foundation of China (U1805261).

Citation

Liu, Z., Shih, T. and Chen, Z. (2022), "Robustness of convergence demonstrated byparametric-guiding andcomplex-root-tunneling algorithms for Bratu’s problem", International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 32 No. 6, pp. 2070-2086. https://doi.org/10.1108/HFF-07-2021-0466

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

Related articles