Weighted residual method for the system of nonlinear volterra integral equations of the second kind using an exponential function
Author
Source
Ibn al-Haitham Journal for Pure and Applied Science
Issue
Vol. 34, Issue 3 (30 Sep. 2021), pp.98-103, 6 p.
Publisher
University of Baghdad College of Education for Pure Science / Ibn al-Haitham
Publication Date
2021-09-30
Country of Publication
Iraq
No. of Pages
6
Main Subjects
Topics
Abstract EN
The numerical resolve nonlinear system of Volterra integral equation of the second kind(NLSVIEK2) has been considered.
The exponential function is used as the base function ofthe collocation method to approximate the resolve of the problem.
Arithmetic epitome areperformed which have already been solved by weighted residual manner, Taylor mannerand block- by- block(2, 3, The numerical resolve nonlinear system of Volterra integral equation of the second kind(NLSVIEK2) has been considered.
The exponential function is used as the base function ofthe collocation method to approximate the resolve of the problem.
Arithmetic epitome areperformed which have already been solved by weighted residual manner, Taylor mannerand block- by- block(2, 3, 5).
American Psychological Association (APA)
Ahmad, Chinar Sh.. 2021. Weighted residual method for the system of nonlinear volterra integral equations of the second kind using an exponential function. Ibn al-Haitham Journal for Pure and Applied Science،Vol. 34, no. 3, pp.98-103.
https://search.emarefa.net/detail/BIM-1255659
Modern Language Association (MLA)
Ahmad, Chinar Sh.. Weighted residual method for the system of nonlinear volterra integral equations of the second kind using an exponential function. Ibn al-Haitham Journal for Pure and Applied Science Vol. 34, no. 3 (2021), pp.98-103.
https://search.emarefa.net/detail/BIM-1255659
American Medical Association (AMA)
Ahmad, Chinar Sh.. Weighted residual method for the system of nonlinear volterra integral equations of the second kind using an exponential function. Ibn al-Haitham Journal for Pure and Applied Science. 2021. Vol. 34, no. 3, pp.98-103.
https://search.emarefa.net/detail/BIM-1255659
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 102-103
Record ID
BIM-1255659
