We develop a Finite Element Method (FEM) which can adopt very general meshes with polygonal elements for the numerical approximation of elliptic obstacle problems. These kinds of methods are also known as mimetic discretization schemes, which stem from the Mimetic Finite Difference (MFD) method. The first-order convergence estimate in a suitable (mesh-dependent) energy norm is established. Numerical experiments confirming the theoretical results are also presented.

Antonietti, P., BEIRAO DA VEIGA, L., Verani, M. (2013). A mimetic discretization of elliptic obstacle problems. MATHEMATICS OF COMPUTATION, 82(283), 1379-1400 [10.1090/S0025-5718-2013-02670-1].

A mimetic discretization of elliptic obstacle problems

BEIRAO DA VEIGA, LOURENCO
Secondo
;
2013

Abstract

We develop a Finite Element Method (FEM) which can adopt very general meshes with polygonal elements for the numerical approximation of elliptic obstacle problems. These kinds of methods are also known as mimetic discretization schemes, which stem from the Mimetic Finite Difference (MFD) method. The first-order convergence estimate in a suitable (mesh-dependent) energy norm is established. Numerical experiments confirming the theoretical results are also presented.
Articolo in rivista - Articolo scientifico
Mimetic Finite Difference Methods; Obstacle problems;
mimetic discretization
English
2013
82
283
1379
1400
open
Antonietti, P., BEIRAO DA VEIGA, L., Verani, M. (2013). A mimetic discretization of elliptic obstacle problems. MATHEMATICS OF COMPUTATION, 82(283), 1379-1400 [10.1090/S0025-5718-2013-02670-1].
File in questo prodotto:
File Dimensione Formato  
unpaywall-bitstream-1290532632.pdf

accesso aperto

Tipologia di allegato: Publisher’s Version (Version of Record, VoR)
Licenza: Dominio pubblico
Dimensione 2.5 MB
Formato Adobe PDF
2.5 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/98695
Citazioni
  • Scopus 26
  • ???jsp.display-item.citation.isi??? 24
Social impact