An Application of RASPEN to Discontinuous Galerkin Discretisation for Richards’ Equation in Porous Media Flow
Peter Bastian () and
Chaiyod Kamthorncharoen ()
Additional contact information
Peter Bastian: Heidelberg University, Interdisciplinary Center for Scientific Computing (IWR)
Chaiyod Kamthorncharoen: Heidelberg University, Interdisciplinary Center for Scientific Computing (IWR)
A chapter in Modeling, Simulation and Optimization of Complex Processes HPSC 2018, 2021, pp 323-335 from Springer
Abstract:
Abstract Nonlinear algebraic systems of equations resulting from Discontinuous Galerkin (DG) discretisation of partial differential equations are typically solved by Newton’s method. In this study, we propose a nonlinear preconditioner for Newton’s method for solving the system of equations which is the modification of RASPEN (Restricted Additive Schwarz Preconditioned Exact Newton). We employ inexact inner solves and different Partition of Unity (PU) operators. Basically, the idea of RASPEN is to use fixed-point iteration to produce a new (non-)linear system which has the same solution as the original system and solve it using Newton’s method. The restricted additive Schwarz method is used as a non-linear preconditioner and enables parallel computation by division into subdomain problems. We apply this method to p-Laplace and Richards’ equation in porous media flow.
Date: 2021
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:978-3-030-55240-4_15
Ordering information: This item can be ordered from
http://www.springer.com/9783030552404
DOI: 10.1007/978-3-030-55240-4_15
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 ().