A new numerical method for div-curl systems with low regularity assumptions. (15th May 2022)
- Record Type:
- Journal Article
- Title:
- A new numerical method for div-curl systems with low regularity assumptions. (15th May 2022)
- Main Title:
- A new numerical method for div-curl systems with low regularity assumptions
- Authors:
- Cao, Shuhao
Wang, Chunmei
Wang, Junping - Abstract:
- Abstract: This paper presents a new numerical method for div-curl systems with the normal boundary condition by using a finite element technique known as primal-dual weak Galerkin (PDWG). The PDWG finite element scheme for the div-curl system has two prominent features in that it offers not only an accurate and reliable numerical solution to the div-curl system under the low H α -regularity ( α > 0 ) assumption for the true solution, but also an effective approximation of the normal harmonic vector fields on domains with complex topology. Seven numerical experiments are conducted and the results are presented to demonstrate the performance of the PDWG algorithm, including one example on the computation of discrete normal harmonic vector fields.
- Is Part Of:
- Computers & mathematics with applications. Volume 114(2022)
- Journal:
- Computers & mathematics with applications
- Issue:
- Volume 114(2022)
- Issue Display:
- Volume 114, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 114
- Issue:
- 2022
- Issue Sort Value:
- 2022-0114-2022-0000
- Page Start:
- 47
- Page End:
- 59
- Publication Date:
- 2022-05-15
- Subjects:
- Finite element methods -- Weak Galerkin methods -- Primal-dual weak Galerkin -- Div-curl system
Electronic data processing -- Periodicals
Mathematics -- Data processing -- Periodicals
510.28541 - Journal URLs:
- http://www.sciencedirect.com/science/journal/08981221 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.camwa.2022.03.015 ↗
- Languages:
- English
- ISSNs:
- 0898-1221
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.730000
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