Abstract
In this paper we present a parallel preconditioner for the standard Finite Volume (FV) discretization of elliptic problems, using the standard continuous piecewise linear Finite Element (FE) function space. The proposed preconditioner is constructed using an abstract framework of the Additive Schwarz Method, and is fully parallel. The convergence rate of the Generalized Minimal Residual (GMRES) method with this preconditioner is shown to be almost optimal, i.e., it depends poly-logarithmically on the mesh sizes.
This work was partially supported by Polish Scientific Grant 2011/01/B/ST1/01179.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Lin, Y., Liu, J., Yang, M.: Finite volume element methods: an overview on recent developments. Int. J. Num. Anal. Mod. 4(1), 14–34 (2013)
Cai, X.C., Widlund, O.B.: Domain decomposition algorithms for indefinite elliptic problems. SIAM J. Sci. Statist. Comput. 13(1), 243–258 (1992)
Smith, B.F., Bjørstad, P.E., Gropp, W.D.: Domain Decomposition: Parallel Multilevel Methods For Elliptic Partial Differential Equations. Cambridge University Press, Cambridge (1996)
Toselli, A., Widlund, O.: Domain Decomposition Methods-Algorithms and Theory. Springer Series in Computational Mathematics, vol. 34. Springer, Berlin (2005)
Dryja, M., Widlund, O.B.: Schwarz methods of Neumann-Neumann type for three-dimensional elliptic finite element problems. Comm. Pure Appl. Math. 48(2), 121–155 (1995)
Brenner, S.C., Wang, K.: Two-level additive Schwarz preconditioners for \(C^0\) interior penalty methods. Numer. Math. 102(2), 231–255 (2005)
Mandel, J., Brezina, M.: Balancing domain decomposition for problems with large jumps in coefficients. Math. Comp. 65(216), 1387–1401 (1996)
Griebel, M., Oswald, P.: On the abstract theory of additive and multiplicative Schwarz algorithms. Numer. Math. 70(2), 163–180 (1995)
Marcinkowski, L.: A balancing Neumann-Neumann method for a mortar finite element discretization of a fourth order elliptic problem. J. Numer. Math. 18(3), 219–234 (2010)
Chou, S.H., Huang, J.: A domain decomposition algorithm for general covolume methods for elliptic problems. J. Numer. Math. 11(3), 179–194 (2003)
Zhang, S.: On domain decomposition algorithms for covolume methods for elliptic problems. Comput. Meth. Appl. Mech. Engrg. 196(1–3), 24–32 (2006)
Eisenstat, S.C., Elman, H.C., Schultz, M.H.: Variational iterative methods for nonsymmetric systems of linear equations. SIAM J. Numer. Anal. 20(2), 345–357 (1983)
Saad, Y., Schultz, M.H.: GMRES: a generalized minimal residual algorithm for solving nonsymmetric linear systems. SIAM J. Sci. Statist. Comput. 7(3), 856–869 (1986)
Xu, J., Cai, X.C.: A preconditioned GMRES method for nonsymmetric or indefinite problems. Math. Comp. 59(200), 311–319 (1992)
Huang, J., Xi, S.: On the finite volume element method for general self-adjoint elliptic problems. SIAM J. Numer. Anal. 35(5), 1762–1774 (1998)
Ewing, R.E., Lin, T., Lin, Y.: On the accuracy of the finite volume element method based on piecewise linear polynomials. SIAM J. Numer. Anal. 39(6), 1865–1888 (2002)
Cai, X.C.: Some domain decomposition algorithms for nonselfadjoin elliptic and parabolic partial differential equations. Ph.D. thesis, Courant Institute, New York (1989)
Brenner, S.C.: The condition number of the Schur complement in domain decomposition. Numer. Math. 83(2), 187–203 (1999)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Marcinkowski, L., Rahman, T. (2014). Parallel Preconditioner for the Finite Volume Element Discretization of Elliptic Problems. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2013. Lecture Notes in Computer Science(), vol 8385. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55195-6_44
Download citation
DOI: https://doi.org/10.1007/978-3-642-55195-6_44
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-55194-9
Online ISBN: 978-3-642-55195-6
eBook Packages: Computer ScienceComputer Science (R0)