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Journal of Computational and Applied Mathematics
Article
License: Elsevier Non-Commercial
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Journal of Computational and Applied Mathematics
Article . 2017 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
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Iterative reproducing kernel Hilbert spaces method for Riccati differential equations

Authors: Sakar, Mehmet Giyas;

Iterative reproducing kernel Hilbert spaces method for Riccati differential equations

Abstract

This paper presents iterative reproducing kernel Hilbert spaces method (IRKHSM) to obtain the numerical solutions for Riccati differential equations with constant and variable coefficients. Representation of the exact solution is given in the W 2 2 0 , X reproducing kernel space. Numerical solution of Riccati differential equations is acquired by interrupting the n -term of the exact solution. Also, the error of the numerical solution is monotone decreasing in terms of the norm of W 2 2 0 , X . The outcomes from numerical examples show that the present iterative algorithm is very effective and convenient.

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citations
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!
57
Top 10%
Top 10%
Top 10%
hybrid