An effective computational method for solving linear multi-point boundary value problems

作者:

Highlights:

摘要

In this work, an efficient computational method is proposed for solving the linear multi-point boundary value problems (MBVPs). Our approach depends mainly on of the least squares approximation method, the Lagrange-multiplier method and the residual error function technique. With the proposed scheme, we handle the numerical solutions of the linear MBVPs in a straightforward manner. Firstly, the given linear MBVP is reduced to a linear system of algebraic equations, and the coefficients of the approximate polynomial solution of the problem are determined by solving this system. Secondly, a linear boundary value problem related to the error function of the approximate solution is constructed, and error estimation is presented for the suggested method. The convergence of the approximate solution is proved. The reliability and efficiency of the proposed approach are demonstrated by some numerical examples.

论文关键词:Multi-point boundary value problems,Least squares approximation method,Lagrange-multiplier method,Approximate series solutions,Residual error function

论文评审过程:Received 10 September 2015, Revised 5 July 2017, Accepted 8 October 2017, Available online 11 November 2017, Version of Record 11 November 2017.

论文官网地址:https://doi.org/10.1016/j.amc.2017.10.016