Mixed Finite Element Methods for the Unsteady Partial Differential Equations
Zhendong Luo
Additional contact information
Zhendong Luo: Hunan Sany Polytechnic College Sany Heavy Industry Group, Academician Expert Workstation
Chapter Chapter 3 in Finite Element and Reduced Dimension Methods for Partial Differential Equations, 2024, pp 337-463 from Springer
Abstract:
Abstract In real-world scientific engineering, a great number of problems are dynamic, namely the corresponding partial differential equations (PDEs) are unsteady. To this end, in this chapter, we will focus on the nonstandard finite element (FE) methods, namely the mixed FE (MFE) methods for the unsteady PDEs such as the unsteady Burgers equation, the regularized long wave (RLW) equation, the unsaturated flow equation, the unsteady Boussinesq equation, and the improved system of time-domain Maxwell’s equations, and use some numerical examples to verify the correction of the MFE methods. There are two approaches to create the fully discretized MFE (FDMFE) format. One is first to discretize spatial variable by the FE method, and then, to discretize time derivative by the finite difference (FD) method. Another is first to discretize time derivative by the FD method, and then, to discretize spatial variable by the FE method. By comparing with two approaches we find that the latter seems more convenient than the former.
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-97-3434-4_3
Ordering information: This item can be ordered from
http://www.springer.com/9789819734344
DOI: 10.1007/978-981-97-3434-4_3
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().