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Mathematical Methods in the Applied Sciences
Article . 2018 . Peer-reviewed
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Article . 2018
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Reproducing kernel Hilbert space method for nonlinear boundary‐value problems

Reproducing kernel Hilbert space method for nonlinear boundary-value problems
Authors: Esra Karatas Akgül;

Reproducing kernel Hilbert space method for nonlinear boundary‐value problems

Abstract

Reproducing kernel Hilbert space method is given for nonlinear boundary‐value problems in this paper. Applying this technique, we establish a new algorithm to approximate the solution of such nonlinear boundary‐value problems. This technique does not need any background mesh and can easily be applied. In this technique, the solution is given in the form of a series. Representation of the solutions is obtained in the reproducing kernel Hilbert space. Additionally, the convergence of the presented method is demonstrated. Numerical examples are presented to show the ability of the method. We compare the reproducing kernel Hilbert space method with B‐spline collocation method. As seen in the tables, the reproducing kernel Hilbert space method gives better results.

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Turkey
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Keywords

Nonlinear boundary value problems for ordinary differential equations, nonlinear boundary-value problems, series solutions, Analytical theory of ordinary differential equations: series, transformations, transforms, operational calculus, etc., reproducing kernel Hilbert space method, Theoretical approximation of solutions to ordinary differential equations

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Top 10%
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