NANAApr 27, 2018

A family of three-dimensional virtual elements with applications to magnetostatic

arXiv:1804.1049766 citationsh-index: 66
Originality Incremental advance
AI Analysis

For computational scientists using virtual element methods, this work offers a more efficient discretization for 3D magnetostatics and related problems, though it is incremental in nature.

The paper introduces new serendipity Virtual Element spaces for approximating H^1-, H(curl)-, and H(div)-conforming spaces in 3D, applied to a linear magnetostatic problem. The method reduces degrees of freedom on faces, enabling efficient static condensation.

We consider, as a simple model problem, the application of Virtual Element Methods (VEM) to the linear Magnetostatic three-dimensional problem in the formulation of F. Kikuchi. In doing so, we also introduce new serendipity VEM spaces, where the serendipity reduction is made only on the faces of a general polyhedral decomposition (assuming that internal degrees of freedom could be more easily eliminated by static condensation). These new spaces are meant, more generally, for the combined approximation of $H^1$-conforming ($0$-forms), $H({\rm {\bf curl}})$-conforming ($1$-forms), and $H({\rm div})$-conforming ($2$-forms) functional spaces in three dimensions, and they would surely be useful for other problems and in more general contexts.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes