A Mechanical Quadrature Method for Solving Delay Volterra Integral Equation with Weakly Singular Kernels. (16th June 2019)
- Record Type:
- Journal Article
- Title:
- A Mechanical Quadrature Method for Solving Delay Volterra Integral Equation with Weakly Singular Kernels. (16th June 2019)
- Main Title:
- A Mechanical Quadrature Method for Solving Delay Volterra Integral Equation with Weakly Singular Kernels
- Authors:
- Zhang, Li
Huang, Jin
Pan, Yubin
Wen, Xiaoxia - Other Names:
- Comminiello Danilo Academic Editor.
- Abstract:
- Abstract : In this work, a mechanical quadrature method based on modified trapezoid formula is used for solving weakly singular Volterra integral equation with proportional delays. An improved Gronwall inequality is testified and adopted to prove the existence and uniqueness of the solution of the original equation. Then, we study the convergence and the error estimation of the mechanical quadrature method. Moreover, Richardson extrapolation based on the asymptotic expansion of error not only possesses a high accuracy but also has the posterior error estimate which can be used to design self-adaptive algorithm. Numerical experiments demonstrate the efficiency and applicability of the proposed method.
- Is Part Of:
- Complexity. Volume 2019(2019)
- Journal:
- Complexity
- Issue:
- Volume 2019(2019)
- Issue Display:
- Volume 2019, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 2019
- Issue:
- 2019
- Issue Sort Value:
- 2019-2019-2019-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-06-16
- Subjects:
- Chaotic behavior in systems -- Periodicals
Complexity (Philosophy) -- Periodicals
003 - Journal URLs:
- https://onlinelibrary.wiley.com/journal/10990526 ↗
http://onlinelibrary.wiley.com/ ↗
https://www.hindawi.com/journals/complexity/ ↗ - DOI:
- 10.1155/2019/4813802 ↗
- Languages:
- English
- ISSNs:
- 1076-2787
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3364.585500
British Library HMNTS - ELD Digital store - Ingest File:
- 11046.xml