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Direct serendipity and mixed finite elements on convex quadrilaterals
Abstract The classical serendipity and mixed finite element spaces suffer from poor approximation on nondegenerate, convex quadrilaterals. In this paper, we develop families of direct serendipity and direct mixed finite element spaces, which achieve optimal approximation properties and have minimal local dimension. The set of local shape functions for either the serendipity or mixed elements contains the full set of scalar or vector polynomials of degree r , respectively, defined directly on each element (i.e., not mapped from a reference element). Because there are not enough degrees of freedom for global $$H^1$$ H 1 or $$H(\text {div})$$ H ( div ) conformity, exactly two supplemental shape functions must be added to each element when $$r\ge 2$$ r ≥ 2 , and only one when $$r=1$$ r = 1 . The specific choice of supplemental functions gives rise to different families of direct elements. These new spaces are related through a de Rham complex. For index $$r\ge 1$$ r ≥ 1 , the new families of serendipity spaces $${\mathscr {DS}}_{r+1}$$ DS r + 1 are the precursors under the curl operator of our direct mixed finite element spaces, which can be constructed to have reduced or full $$H(\text {div})$$ H ( more »
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Award ID(s):
Publication Date:
NSF-PAR ID:
10354701
Journal Name:
Numerische Mathematik
Volume:
150
Issue:
4
Page Range or eLocation-ID:
929 to 974
ISSN:
0029-599X
We consider the problem of covering multiple submodular constraints. Given a finite ground setN, a weight function$$w: N \rightarrow \mathbb {R}_+$$$w:N\to {R}_{+}$,rmonotone submodular functions$$f_1,f_2,\ldots ,f_r$$${f}_{1},{f}_{2},\dots ,{f}_{r}$overNand requirements$$k_1,k_2,\ldots ,k_r$$${k}_{1},{k}_{2},\dots ,{k}_{r}$the goal is to find a minimum weight subset$$S \subseteq N$$$S\subseteq N$such that$$f_i(S) \ge k_i$$${f}_{i}\left(S\right)\ge {k}_{i}$for$$1 \le i \le r$$$1\le i\le r$. We refer to this problem asMulti-Submod-Coverand it was recently considered by Har-Peled and Jones (Few cuts meet many point sets. CoRR.arxiv:abs1808.03260Har-Peled and Jones 2018) who were motivated by an application in geometry. Even with$$r=1$$$r=1$Multi-Submod-Covergeneralizes the well-known Submodular Set Cover problem (Submod-SC), and it can also be easily reduced toSubmod-SC. A simple greedy algorithm gives an$$O(\log (kr))$$$O\left(log\left(kr\right)\right)$approximation where$$k = \sum _i k_i$$$k={\sum }_{i}{k}_{i}$and this ratio cannot be improved in the general case. In this paper, motivated by several concrete applications, we consider two ways to improve upon the approximation given by the greedy algorithm. First, we give a bicriteria approximation algorithm forMulti-Submod-Coverthat covers each constraint to within a factor of$$(1-1/e-\varepsilon )$$$\left(1-1/e-\epsilon \right)$while incurring an approximation of$$O(\frac{1}{\epsilon }\log r)$$$O\left(\frac{1}{ϵ}logr\right)$in the cost. Second, we consider the special case when each$$f_i$$${f}_{i}$is a obtained from a truncated coverage function and obtain an algorithm that generalizes previous work on partial set cover (Partial-SC), covering integer programs (CIPs) and multiple vertex cover constraintsmore »