Analysis of Two-Grid Characteristic Finite Element Methods for Convection-Diffusion Equations. (18th January 2023)
- Record Type:
- Journal Article
- Title:
- Analysis of Two-Grid Characteristic Finite Element Methods for Convection-Diffusion Equations. (18th January 2023)
- Main Title:
- Analysis of Two-Grid Characteristic Finite Element Methods for Convection-Diffusion Equations
- Authors:
- Wang, Keyan
Hu, Boxia - Other Names:
- Gobithaasan R. U. Academic Editor.
- Abstract:
- Abstract : In this paper, two efficient two-grid algorithms for the convection-diffusion problem with a modified characteristic finite element method are studied. We present an optimal error estimate in L p -norm for the characteristic finite element method unconditionally, while all previous works require certain time-step restrictions. To linearize the characteristic method equations, two-grid algorithms based on the Newton iteration approach and the correction method are applied. The error estimate and the convergence result of the two-grid method are derived in detail. It is shown that the coarse space can be extremely coarse and achieve asymptotically optimal approximations as long as the mesh sizes H = O h 1 / 3 in the first algorithm and H = O h 1 / 4 in the second algorithm, respectively. Finally, two numerical examples are presented to demonstrate the theoretical analysis.
- Is Part Of:
- Journal of mathematics. Volume 2023(2023)
- Journal:
- Journal of mathematics
- Issue:
- Volume 2023(2023)
- Issue Display:
- Volume 2023, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 2023
- Issue:
- 2023
- Issue Sort Value:
- 2023-2023-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-01-18
- Subjects:
- Mathematics -- Periodicals
Mathematics
Periodicals
510 - Journal URLs:
- https://www.hindawi.com/journals/jmath/ ↗
http://bibpurl.oclc.org/web/74492 ↗
http://search.ebscohost.com/direct.asp?db=a9h&jid=%22FV7F%22&scope=site ↗ - DOI:
- 10.1155/2023/6322303 ↗
- Languages:
- English
- ISSNs:
- 2314-4629
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 25735.xml