Name
Title | ||
|---|---|---|
A Finite-Element Framework For A Mimetic Finite-Difference Discretization Of Maxwell'S Equations |
Abstract | ||
|---|---|---|
Maxwell's equations are a system of partial differential equations that govern the laws of electromagnetic induction. We study a mimetic finite-difference (MFD) discretization of the equations which preserves important underlying physical properties. We show that, after masslumping and appropriate scaling, the MFD discretization is equivalent to a structure-preserving finite-element (FE) scheme. This allows for a transparent analysis of the MFD method using the FE framework and provides an avenue for the construction of efficient and robust linear solvers for the discretized system. In particular, block preconditioners designed for FE formulations can be applied to the MFD system in a straightforward fashion. We present numerical tests which verify the accuracy of the MFD scheme and confirm the robustness of the preconditioners. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1137/20M1382568 | SIAM JOURNAL ON SCIENTIFIC COMPUTING |
Keywords | DocType | Volume |
Maxwell's equations, finite-element method, mimetic finite-difference method, structure-preserving block preconditioners | Journal | 43 |
Issue | ISSN | Citations |
4 | 1064-8275 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. H. Adler | 1 | 56 | 10.02 |
| Casey Cavanaugh | 2 | 0 | 0.34 |
| Xiaozhe Hu | 3 | 47 | 16.68 |
| Ludmil Zikatanov | 4 | 189 | 25.89 |