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Related papers: A serendipity fully discrete div-div complex on po…

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In this work we investigate from a broad perspective the reduction of degrees of freedom through serendipity techniques for polytopal methods compatible with Hilbert complexes. We first establish an abstract framework that, given two…

Numerical Analysis · Mathematics 2022-09-29 Daniele A. Di Pietro , Jérôme Droniou

In this work, following the Discrete de Rham (DDR) paradigm, we develop an arbitrary-order discrete divdiv complex on general polyhedral meshes. The construction rests 1) on discrete spaces that are spanned by vectors of polynomials whose…

Numerical Analysis · Mathematics 2024-09-13 Daniele A. Di Pietro , Marien-Lorenzo Hanot

We introduce a new variant of Nodal Virtual Element spaces that mimics the "Serendipity Finite Element Methods" (whose most popular example is the 8-node quadrilateral) and allows to reduce (often in a significant way) the number of…

Numerical Analysis · Mathematics 2015-10-30 L. Beirao da Veiga , F. Brezzi , L. D. Marini , A. Russo

In this paper we present a novel arbitrary-order discrete de Rham (DDR) complex on general polyhedral meshes based on the decomposition of polynomial spaces into ranges of vector calculus operators and complements linked to the spaces in…

Numerical Analysis · Mathematics 2021-11-04 Daniele Antonio Di Pietro , Jérôme Droniou

We construct conforming finite element elasticity complexes on the Alfeld splits of tetrahedra. The complex consists of vector fields and symmetric tensor fields, interlinked via the linearized deformation operator, the linearized curvature…

Numerical Analysis · Mathematics 2020-09-17 Snorre H. Christiansen , Jay Gopalakrishnan , Johnny Guzmán , Kaibo Hu

In this work, following the discrete de Rham (DDR) approach, we develop a discrete counterpart of a two-dimensional de Rham complex with enhanced regularity. The proposed construction supports general polygonal meshes and arbitrary…

Numerical Analysis · Mathematics 2022-10-28 Daniele A. Di Pietro

We construct conforming finite element elasticity complexes on Worsey-Farin splits in three dimensions. Spaces for displacement, strain, stress, and the load are connected in the elasticity complex through the differential operators…

Numerical Analysis · Mathematics 2023-08-22 Sining Gong , Jay Gopalakrishnan , Johnny Guzmán , Michael Neilan

In this work, merging ideas from compatible discretisations and polyhedral methods, we construct novel fully discrete polynomial de Rham sequences of arbitrary degree on polygons and polyhedra. The spaces and operators that appear in these…

Numerical Analysis · Mathematics 2021-05-18 Daniele A. Di Pietro , Jérôme Droniou , Francesca Rapetti

We propose two general operations on finite element differential complexes on cubical meshes that can be used to construct and analyze sequences of "nonstandard" convergent methods. The first operation, called DoF-transfer, moves edge…

Numerical Analysis · Mathematics 2018-04-13 Andrew Gillette , Kaibo Hu , Shuo Zhang

We design in this work a discrete de Rham complex on manifolds. This complex, written in the framework of exterior calculus, has the same cohomology as the continuous de Rham complex, is of arbitrary order of accuracy and, in principle, can…

Numerical Analysis · Mathematics 2025-04-01 Jérôme Droniou , Marien Hanot , Todd Oliynyk

This work is devoted to the high accuracy analysis of a discrete Stokes complex over rectangular meshes with a simple structure. The 0-form in the complex is a non $C^0$ nonconforming element space for biharmonic problems. This plate…

Numerical Analysis · Mathematics 2018-12-17 Xinchen Zhou , Zhaoliang Meng , Xin Fan , Zhongxuan Luo

We present a collection of algorithms which utilize dimensional reduction to perform mesh refinement and study possibly singular solutions of time-dependent partial differential equations. The algorithms are inspired by constructions used…

Numerical Analysis · Mathematics 2007-06-21 Panagiotis Stinis

We introduce the family of trimmed serendipity finite element differential form spaces, defined on cubical meshes in any number of dimensions, for any polynomial degree, and for any form order. The relation between the trimmed serendipity…

Numerical Analysis · Mathematics 2018-01-08 Andrew Gillette , Tyler Kloefkorn

In this paper we prove a complete panel of consistency results for the discrete de Rham (DDR) complex introduced in the companion paper [D. A. Di Pietro and J. Droniou, An arbitrary-order discrete de Rham complex on polyhedral meshes. Part…

Numerical Analysis · Mathematics 2021-02-03 Daniele Antonio Di Pietro , Jérôme Droniou

In this work we construct a low-order nonconforming approximation method for linear elasticity problems supporting general meshes and valid in two and three space dimensions. The method is obtained by hacking the Hybrid High-Order method,…

Numerical Analysis · Mathematics 2019-06-26 Michele Botti , Daniele A. Di Pietro , Alessandra Guglielmana

We design and analyze an approximation method for advection-diffusion-reaction equations where the (generalized) degrees of freedom are polynomials of order $k\ge0$ at mesh faces. The method hinges on local discrete reconstruction operators…

Numerical Analysis · Mathematics 2018-05-29 Daniele A. Di Pietro , Jérôme Droniou , Alexandre Ern

In this paper we present an arbitrary-order fully discrete Stokes complex on general polyhedral meshes. We enriche the fully discrete de Rham complex with the addition of a full gradient operator defined on vector fields and fitting into…

Numerical Analysis · Mathematics 2024-01-18 Marien-Lorenzo Hanot

We introduce a new type of reduction of inversive difference polynomials that is associated with a partition of the basic set of automorphisms $\sigma$ and uses a generalization of the concept of effective order of a difference polynomial.…

Rings and Algebras · Mathematics 2023-09-12 Alexander Levin

Through the lens of information-theoretic reductions, we examine a reductions approach to fair optimization and learning where a black-box optimizer is used to learn a fair model for classification or regression. Quantifying the complexity,…

Machine Learning · Computer Science 2021-05-25 Daniel Alabi

Since the advent of mesh-free methods as a tool for the numerical analysis of systems of Partial Differential Equations (PDEs), many variants of differential operator approximation have been proposed. In this work, we propose a local…

Numerical Analysis · Mathematics 2022-03-07 Mitja Jančič , Gregor Kosec
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