2013
DOI: 10.1186/1687-1847-2013-262
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A new Fibonacci type collocation procedure for boundary value problems

Abstract: In this study, we present a new procedure for the numerical solution of boundary value problems. This approach is mainly founded on the Fibonacci polynomial expansions, the so-called pseudospectral methods with the collocation method. The applicability and effectiveness of our proposed approach is shown by some illustrative examples. Then, the results indicate that this method is very effective and highly promising for linear differential equations defined on any subinterval of the real domain. MSC: 35A25

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Cited by 18 publications
(5 citation statements)
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“…Increasing d yields a small error in the norm for Example . The rational approximation method is given by a comparison with some other numerical methods, including the Taylor matrix method , the exponential approximation , the Fibonacci‐type collocation method , and the Legendre matrix method .…”
Section: Discussionmentioning
confidence: 99%
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“…Increasing d yields a small error in the norm for Example . The rational approximation method is given by a comparison with some other numerical methods, including the Taylor matrix method , the exponential approximation , the Fibonacci‐type collocation method , and the Legendre matrix method .…”
Section: Discussionmentioning
confidence: 99%
“…Example Let us consider the following second‐order linear delay difference equation: y′′(x)+xy(x)2y(x)=xcos(x)3sin(x) with the conditions y (0) = 0 . The exact solution is y ( x )= sin( x ).…”
Section: Numerical Examplesmentioning
confidence: 99%
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“…It is seen with the Maple 14 program that arbitrarily selected this point does not affect the result). Hence, at the collocation points in (15), derivatives of the unknown function  can be written in the matrix form as…”
Section: Transactions For the Solution Of The Equationmentioning
confidence: 99%
“…Over the last three decades, the scientists have paid much attention to spectral methods due to their high accuracy (see, for instance, [1][2][3][4][5][6][7], and the references therein). On the other hand, spectral methods typically give rise to full matrices, partially negating the gain in efficiency due to the fewer number of grid points.…”
Section: Introductionmentioning
confidence: 99%