Solving random boundary heat model using the finite difference method under mean square convergence. Issue 3 (17th April 2019)
- Record Type:
- Journal Article
- Title:
- Solving random boundary heat model using the finite difference method under mean square convergence. Issue 3 (17th April 2019)
- Main Title:
- Solving random boundary heat model using the finite difference method under mean square convergence
- Authors:
- Cortés, J.‐C.
Romero, J.‐V.
Roselló, M.‐D.
Sohaly, M.A. - Abstract:
- Abstract : This contribution is devoted to construct numerical approximations to the solution of the one‐dimensional boundary value problem for the heat model with uncertainty in the diffusion coefficient. Approximations are constructed via random numerical schemes. This approach permits discussing the effect of the random diffusion coefficient, which is assumed a random variable. We establish results about the consistency and stability of the random difference scheme using mean square convergence. Finally, an illustrative example is presented.
- Is Part Of:
- Computational and mathematical methods. Volume 1:Issue 3(2019)
- Journal:
- Computational and mathematical methods
- Issue:
- Volume 1:Issue 3(2019)
- Issue Display:
- Volume 1, Issue 3 (2019)
- Year:
- 2019
- Volume:
- 1
- Issue:
- 3
- Issue Sort Value:
- 2019-0001-0003-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2019-04-17
- Subjects:
- mean square consistency -- mean square stability -- random boundary heat model -- random difference scheme
Mathematics -- Data processing -- Periodicals
Numerical analysis -- Periodicals
Numerical analysis
Mathematics -- Data processing
Periodicals
004.0151 - Journal URLs:
- https://onlinelibrary.wiley.com/loi/25777408 ↗
https://www.hindawi.com/journals/cmm/ ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/cmm4.1026 ↗
- Languages:
- English
- ISSNs:
- 2577-7408
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3390.572700
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 10153.xml