The maximum principle is a major property of solutions of partial differential equations. In this work, we analyze a few constructive algorithms that allow one to embed this property into a mimetic finite difference (MFD) method. The algorithms search in the parametric family of MFD methods for a member that guarantees the discrete maximum principle (DMP). A set of sufficient conditions for the DMP is derived for a few types of meshes. For general meshes, a numerical optimization procedure is proposed and studied numerically.
Monotonicity Conditions in the Mimetic Finite Difference Method
G Manzini;
2011
Abstract
The maximum principle is a major property of solutions of partial differential equations. In this work, we analyze a few constructive algorithms that allow one to embed this property into a mimetic finite difference (MFD) method. The algorithms search in the parametric family of MFD methods for a member that guarantees the discrete maximum principle (DMP). A set of sufficient conditions for the DMP is derived for a few types of meshes. For general meshes, a numerical optimization procedure is proposed and studied numerically.File in questo prodotto:
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