Solutions to Uncertain Volterra Integral Equations by Fitted Reproducing Kernel Hilbert Space Method. (13th July 2016)

• Record Type: Journal Article
• Authors: Gumah, Ghaleb; Moaddy, Khaled; Al-Smadi, Mohammed; Hashim, Ishak
• Other Names: Olszowy Leszek Academic Editor.
• Is Part Of: Journal of function spaces. Volume 2016(2016)
• Publication Date: 2016-07-13
• Subjects: Function spaces -- Periodicals; 515.7305
• DOI: 10.1155/2016/2920463
• Languages: English
• ISSNs: 2314-8896

Abstract

Abstract : We present an efficient modern strategy for solving some well-known classes of uncertain integral equations arising in engineering and physics fields. The solution methodology is based on generating an orthogonal basis upon the obtained kernel function in the Hilbert space W 2 1 a, b in order to formulate the analytical solutions in a rapidly convergent series form in terms of their α -cut representation. The approximation solution is expressed by n -term summation of reproducing kernel functions and it is convergent to the analytical solution. Our investigations indicate that there is excellent agreement between the numerical results and the RKHS method, which is applied to some computational experiments to demonstrate the validity, performance, and superiority of the method. The present work shows the potential of the RKHS technique in solving such uncertain integral equations.