Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/106490
Title: A random integral quadrature method for numerical analysis of the second kind of Volterra integral equations
Authors: Li, Hua.
Zou, Hua.
Keywords: DRNTU::Engineering::Mechanical engineering
Issue Date: 2013
Source: Li, H., & Zou, H. (2013). A random integral quadrature method for numerical analysis of the second kind of Volterra integral equations. Journal of computational and applied mathematics, 237(1), 35-42.
Series/Report no.: Journal of computational and applied mathematics
Abstract: In this paper, a novel meshless technique termed the random integral quadrature (RIQ) method is developed for the numerical solution of the second kind of the Volterra integral equations. The RIQ method is based on the generalized integral quadrature (GIQ) technique, and associated with the Kriging interpolation function, such that it is regarded as an extension of the GIQ technique. In the GIQ method, the regular computational domain is required, in which the field nodes are scattered along straight lines. In the RIQ method however, the field nodes can be distributed either uniformly or randomly. This is achieved by discretizing the governing integral equation with the GIQ method over a set of virtual nodes that lies along straight lines, and then interpolating the function values at the virtual nodes over all the field nodes which are scattered either randomly or uniformly. In such a way, the governing integral equation is converted approximately into a system of linear algebraic equations, which can be easily solved.
URI: https://hdl.handle.net/10356/106490
http://hdl.handle.net/10220/17986
ISSN: 0377-0427
DOI: 10.1016/j.cam.2012.06.041
Schools: School of Mechanical and Aerospace Engineering 
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:MAE Journal Articles

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