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Computational Methods for Solving Linear Fuzzy Volterra Integral Equation
Joint Authors
Source
Journal of Applied Mathematics
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-28
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Two numerical schemes, namely, the Taylor expansion and the variational iteration methods, have been implemented to give an approximate solution of the fuzzy linear Volterra integral equation of the second kind.
To display the validity and applicability of the numerical methods, one illustrative example with known exact solution is presented.
Numerical results show that the convergence and accuracy of these methods were in a good agreement with the exact solution.
However, according to comparison of these methods, we conclude that the variational iteration method provides more accurate results.
American Psychological Association (APA)
Hamaydi, Jihan& Qatanani, Naji. 2017. Computational Methods for Solving Linear Fuzzy Volterra Integral Equation. Journal of Applied Mathematics،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1169932
Modern Language Association (MLA)
Hamaydi, Jihan& Qatanani, Naji. Computational Methods for Solving Linear Fuzzy Volterra Integral Equation. Journal of Applied Mathematics No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1169932
American Medical Association (AMA)
Hamaydi, Jihan& Qatanani, Naji. Computational Methods for Solving Linear Fuzzy Volterra Integral Equation. Journal of Applied Mathematics. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1169932
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169932