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An Efficient Higher-Order Quasilinearization Method for Solving Nonlinear BVPs
Author(s) -
Eman Salem Alaidarous,
Malik Zaka Ullah,
Fayyaz Ahmad,
A. S. Al-Fhaid
Publication year - 2013
Publication title -
journal of applied mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.307
H-Index - 43
eISSN - 1687-0042
pISSN - 1110-757X
DOI - 10.1155/2013/259371
Subject(s) - mathematics , convergence (economics) , nonlinear system , boundary value problem , dimension (graph theory) , iterative method , decomposition method (queueing theory) , rate of convergence , order (exchange) , bifurcation , scheme (mathematics) , partial differential equation , mathematical optimization , mathematical analysis , computer science , channel (broadcasting) , computer network , physics , finance , discrete mathematics , quantum mechanics , pure mathematics , economics , economic growth
In this research paper, we present higher-order quasilinearization methods for the boundary value problems as well as coupled boundary value problems. The construction of higher-order convergent methods depends on a decomposition method which is different from Adomain decomposition method (Motsa and Sibanda, 2013). The reported method is very general and can be extended to desired order of convergence for highly nonlinear differential equations and also computationally superior to proposed iterative method based on Adomain decomposition because our proposed iterative scheme avoids the calculations of Adomain polynomials and achieves the same computational order of convergence as authors have claimed in Motsa and Sibanda, 2013. In order to check the validity and computational performance, the constructed iterative schemes are also successfully applied to bifurcation problems to calculate the values of critical parameters. The numerical performance is also tested for one-dimension Bratu and Frank-Kamenetzkii equations

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