Solving second-order nonlinear boundary value problem with nonlinear boundary conditions by an iterative method

Purpose The purpose of this paper is to solve the second-order nonlinear boundary value problem with nonlinear boundary conditions by an iterative numerical method. Design/methodology/approach The authors introduce eigenfunctions as test functions, such that a weak-form integral equation is derived....

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Bibliographic Details
Published in:Engineering computations Vol. 38; no. 1; pp. 107 - 130
Main Authors: Liu, Chein-Shan, Chang, Jiang-Ren
Format: Journal Article
Language:English
Published: Bradford Emerald Publishing Limited 27.01.2021
Emerald Group Publishing Limited
Subjects:
Algorithms
Approximation
Boundary conditions
Boundary value problems
Closed form solutions
Convergence
Eigenvalues
Eigenvectors
Exact solutions
Integral equations
Iterative algorithms
Iterative methods
Numerical analysis
Numerical methods
Ordinary differential equations
Orthogonality
Thermal expansion
Weighting functions
Nonlinear boundary value problem
Iterative algorithm
Nonlinear boundary conditions
Eigenfunctions as test functions
Closed-form expansion coefficients
ISSN:0264-4401, 1758-7077
Online Access:Get full text
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Summary:Purpose The purpose of this paper is to solve the second-order nonlinear boundary value problem with nonlinear boundary conditions by an iterative numerical method. Design/methodology/approach The authors introduce eigenfunctions as test functions, such that a weak-form integral equation is derived. By expanding the numerical solution in terms of the weighted eigenfunctions and using the orthogonality of eigenfunctions with respect to a weight function, and together with the non-separated/mixed boundary conditions, one can obtain the closed-form expansion coefficients with the aid of Drazin inversion formula. Findings When the authors develop the iterative algorithm, removing the time-varying terms as well as the nonlinear terms to the right-hand sides, to solve the nonlinear boundary value problem, it is convergent very fast and also provides very accurate numerical solutions. Research limitations/implications Basically, the authors’ strategy for the iterative numerical algorithm is putting the time-varying terms as well as the nonlinear terms on the right-hand sides. Practical implications Starting from an initial guess with zero value, the authors used the closed-form formula to quickly generate the new solution, until the convergence is satisfied. Originality/value Through the tests by six numerical experiments, the authors have demonstrated that the proposed iterative algorithm is applicable to the highly complex nonlinear boundary value problems with nonlinear boundary conditions. Because the coefficient matrix is set up outside the iterative loop, and due to the property of closed-form expansion coefficients, the presented iterative algorithm is very time saving and converges very fast.
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ISSN:0264-4401
1758-7077
DOI:10.1108/EC-03-2020-0129