2014
DOI: 10.9734/bjmcs/2014/13503
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Semi-analytical Approximation for Solving High-order Sturm-Liouville Problems

Abstract: In this paper, an algorithm for solving high-order non-singular Sturm-Liouville eigenvalue problems is proposed. A modified form of Adomian decomposition method is implemented to provide a semianalytical solution in the form of a rapidly convergent series. Convergent analysis and error estimate based on the Banach fixed-point is discussed. Five high-order Sturm-Liouville problems are solved numerically. Numerical results demonstrate reliability and efficiency of the proposed scheme.

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Cited by 6 publications
(6 citation statements)
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“…Table 4 reveals that the absolute errors | | for all six eigenvalues are exceedingly small i.e., 1.0e+00. This shows that our proposed method agrees well with ADM [14] .…”
Section: Numerical Illustrationssupporting
confidence: 75%
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“…Table 4 reveals that the absolute errors | | for all six eigenvalues are exceedingly small i.e., 1.0e+00. This shows that our proposed method agrees well with ADM [14] .…”
Section: Numerical Illustrationssupporting
confidence: 75%
“…To assess the competency of the suggested method, four linear eigenvalue problems with two classes of boundary conditions have been worked out. The eigenvalues computed by the current technique are compared with the various numerical and analytical techniques [ 1 , 2 , 14 , 26 ] available in the literature. The Galerkin method is tested with finite intervals from eight to twelfth orders along with regular endpoint boundary conditions.…”
Section: Numerical Illustrationsmentioning
confidence: 99%
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“…Adomian decomposition method (ADM), variational iteration method (VIM), Chebyshev spectral collocation method (CSCM) and modified Adomian decomposition method are numerical or semi-analytic schemes available on this subject (see [6,33,34]).…”
Section: Introductionmentioning
confidence: 99%