Reproducing kernel Hilbert space method for solutions of a coefficient inverse problem for the kinetic equation | Zendy

Esra Karataş Akgül | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Reproducing kernel Hilbert space method for solutions of a coefficient inverse problem for the kinetic equation

Author(s) -

Esra Karataş Akgül

Publication year - 2018

Publication title -

an international journal of optimization and control theories and applications (ijocta)

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.287

H-Index - 6

eISSN - 2146-5703

pISSN - 2146-0957

DOI - 10.11121/ijocta.01.2018.00568

Subject(s) - reproducing kernel hilbert space , kernel (algebra) , mathematics , hilbert space , representer theorem , inverse , inverse problem , mathematical analysis , kernel embedding of distributions , space (punctuation) , kernel method , pure mathematics , computer science , geometry , artificial intelligence , support vector machine , operating system

On the basis of a reproducing kernel Hilbert space, reproducing kernel functions for solving the coefficient inverse problem for the kinetic equation are given in this paper. Reproducing kernel functions found in the reproducing kernel Hilbert space imply that they can be considered for solving such inverse problems. We obtain approximate solutions by reproducing kernel functions. We show our results by a table. We prove the eciency of the reproducing kernel Hilbert space method for solutions of a coefficient inverse problem for the kinetic equation.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research