Identification of an inverse source problem for time‐fractional diffusion equation with random noise. (23rd October 2018)
- Record Type:
- Journal Article
- Title:
- Identification of an inverse source problem for time‐fractional diffusion equation with random noise. (23rd October 2018)
- Main Title:
- Identification of an inverse source problem for time‐fractional diffusion equation with random noise
- Authors:
- Thach, Tran Ngoc
Huy, Tuan Nguyen
Tam, Pham Thi Minh
Minh, Mach Nguyet
Can, Nguyen Huu - Abstract:
- Abstract : In this paper, we consider an inverse source problem for a time fractional diffusion equation. In general, this problem is ill posed, therefore we shall construct a regularized solution using the filter regularization method in the random noise case. We will provide appropriate conditions to guarantee the convergence of the approximate solution to the exact solution. Then, we provide examples of filters in order to obtain error estimates for their approximate solutions. Finally, we present a numerical example to show efficiency of the method.
- Is Part Of:
- Mathematical methods in the applied sciences. Volume 42:Number 1(2019)
- Journal:
- Mathematical methods in the applied sciences
- Issue:
- Volume 42:Number 1(2019)
- Issue Display:
- Volume 42, Issue 1 (2019)
- Year:
- 2019
- Volume:
- 42
- Issue:
- 1
- Issue Sort Value:
- 2019-0042-0001-0000
- Page Start:
- 204
- Page End:
- 218
- Publication Date:
- 2018-10-23
- Subjects:
- diffusion process -- fractional derivative -- inverse source problem -- random noise -- regularization
Mathematics -- Periodicals
Technology -- Mathematics -- Periodicals
519 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/mma.5334 ↗
- Languages:
- English
- ISSNs:
- 0170-4214
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5402.530000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 9138.xml