Superconvergent gradient recovery for virtual element methods

Hailong Guo; Cong Xie; Ren Zhao

doi:10.1142/S0218202519500386

Superconvergent gradient recovery for virtual element methods

Hailong Guo
, Cong Xie
, Ren Zhao^*

^*Corresponding author for this work

Department of Foundational Mathematics

Research output: Contribution to journal › Article › peer-review

25 Citations (Scopus)

Original language	English
Pages (from-to)	2007-2031
Journal	Mathematical Models and Methods in Applied Sciences
Volume	29
Issue number	11
DOIs	https://doi.org/10.1142/S0218202519500386
Publication status	Published - Oct 2019

Keywords

Gradient recovery
superconvergence
polynomial preserving
virtual element method
recovery-based
a posteriori error estimator
polygonal mesh

Access to Document

10.1142/S0218202519500386

Cite this

@article{4bdc88ec34a74c22894089fac782e316,

title = "Superconvergent gradient recovery for virtual element methods",

keywords = "Gradient recovery, superconvergence, polynomial preserving, virtual element method, recovery-based, a posteriori error estimator, polygonal mesh",

author = "Hailong Guo and Cong Xie and Ren Zhao",

year = "2019",

month = oct,

doi = "10.1142/S0218202519500386",

language = "English",

volume = "29",

pages = "2007--2031",

journal = "Mathematical Models and Methods in Applied Sciences",

issn = "0218-2025",

number = "11",

}

TY - JOUR

T1 - Superconvergent gradient recovery for virtual element methods

AU - Guo, Hailong

AU - Xie, Cong

AU - Zhao, Ren

PY - 2019/10

Y1 - 2019/10

KW - Gradient recovery

KW - superconvergence

KW - polynomial preserving

KW - virtual element method

KW - recovery-based

KW - a posteriori error estimator

KW - polygonal mesh

U2 - 10.1142/S0218202519500386

DO - 10.1142/S0218202519500386

M3 - Article

SN - 0218-2025

VL - 29

SP - 2007

EP - 2031

JO - Mathematical Models and Methods in Applied Sciences

JF - Mathematical Models and Methods in Applied Sciences

IS - 11

ER -