z-logo
open-access-imgOpen Access
The Convergence of Geometric Mesh Cubic Spline Finite Difference Scheme for Nonlinear Higher Order Two-Point Boundary Value Problems
Author(s) -
Navnit Jha,
R. K. Mohanty,
Vinod Kumar Chauhan
Publication year - 2014
Publication title -
international journal of computational mathematics
Language(s) - English
Resource type - Journals
eISSN - 2356-797X
pISSN - 2314-856X
DOI - 10.1155/2014/527924
Subject(s) - mathematics , boundary value problem , invertible matrix , monotone polygon , nonlinear system , rate of convergence , finite difference , monotone cubic interpolation , mathematical analysis , polynomial , geometry , computer science , physics , quantum mechanics , linear interpolation , pure mathematics , computer network , channel (broadcasting) , trilinear interpolation
An efficient algorithm for the numerical solution of higher (even) orders two-point nonlinear boundary value problems has been developed. The method is third order accurate and applicable to both singular and nonsingular cases. We have used cubic spline polynomial basis and geometric mesh finite difference technique for the generation of this new scheme. The irreducibility and monotone property of the iteration matrix have been established and the convergence analysis of the proposed method has been discussed. Some numerical experiments have been carried out to demonstrate the computational efficiency in terms of convergence order, maximum absolute errors, and root mean square errors. The numerical results justify the reliability and efficiency of the method in terms of both order and accuracy

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom