A fast null-space method for the unsteady Stokes equations. (1st September 2020)
- Record Type:
- Journal Article
- Title:
- A fast null-space method for the unsteady Stokes equations. (1st September 2020)
- Main Title:
- A fast null-space method for the unsteady Stokes equations
- Authors:
- Yang, Xi
- Abstract:
- Abstract: This work is a first taste of using null-space technique to deal with a basic model of unsteady partial differential equations (PDEs), i.e., the unsteady Stokes equations. Any inf–sup stable semi-discretization of the unsteady Stokes equations yields a system of differential–algebraic equations (DAEs), i.e., the unsteady discrete Stokes equations. The exact solution to the unsteady discrete Stokes equations is explicitly constructed with the help of the null-space of the discrete divergence operator and a matrix exponential. In practical implementation, the explicit use of the null-space of the discrete divergence operator is avoided. Therefore, the main workload of solving the unsteady discrete Stokes equations is the matrix exponential vector product. The matrix exponential vector product is written in terms of an integral relation, which is approximated by a linear combination of values of the integrand evaluated at a select number of complex numbers. Each evaluation of the integrand needs to solve a linear system. In numerical experiments, the null-space method outperforms frequently used time-stepping methods in terms of accuracy and computing time.
- Is Part Of:
- Computers & mathematics with applications. Volume 80:issue 5(2020)
- Journal:
- Computers & mathematics with applications
- Issue:
- Volume 80:issue 5(2020)
- Issue Display:
- Volume 80, Issue 5 (2020)
- Year:
- 2020
- Volume:
- 80
- Issue:
- 5
- Issue Sort Value:
- 2020-0080-0005-0000
- Page Start:
- 1459
- Page End:
- 1477
- Publication Date:
- 2020-09-01
- Subjects:
- Differential–algebraic equations -- Krylov subspace methods -- Matrix exponential -- Partial differential equations -- Unsteady Stokes equations
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.2020.07.006 ↗
- Languages:
- English
- ISSNs:
- 0898-1221
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.730000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13693.xml