Superconvergent Two-Grid Methods for Elliptic Eigenvalue Problems

Hailong Guo; Zhimin Zhang; Ren Zhao

doi:10.1007/s10915-016-0245-2

Superconvergent Two-Grid Methods for Elliptic Eigenvalue Problems

Hailong Guo, Zhimin Zhang, Ren Zhao

Department of Foundational Mathematics

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

14 Citations (Scopus)

Original language	English
Pages (from-to)	125-148
Journal	Journal of Scientific Computing
Volume	70
Issue number	1
DOIs	https://doi.org/10.1007/s10915-016-0245-2
Publication status	Published - Jan 2017

Keywords

Eigenvalue problems
Two-grid method
Gradient recovery
Superconvergence
Polynomial preserving
Adaptive

Access to Document

10.1007/s10915-016-0245-2

Cite this

@article{d195bfde39594fc4bb2f13246118e1e7,

title = "Superconvergent Two-Grid Methods for Elliptic Eigenvalue Problems",

keywords = "Eigenvalue problems, Two-grid method, Gradient recovery, Superconvergence, Polynomial preserving, Adaptive",

author = "Hailong Guo and Zhimin Zhang and Ren Zhao",

year = "2017",

month = jan,

doi = "10.1007/s10915-016-0245-2",

language = "English",

volume = "70",

pages = "125--148",

journal = "Journal of Scientific Computing",

issn = "0885-7474",

number = "1",

}

TY - JOUR

T1 - Superconvergent Two-Grid Methods for Elliptic Eigenvalue Problems

AU - Guo, Hailong

AU - Zhang, Zhimin

AU - Zhao, Ren

PY - 2017/1

Y1 - 2017/1

KW - Eigenvalue problems

KW - Two-grid method

KW - Gradient recovery

KW - Superconvergence

KW - Polynomial preserving

KW - Adaptive

U2 - 10.1007/s10915-016-0245-2

DO - 10.1007/s10915-016-0245-2

M3 - Article

SN - 0885-7474

VL - 70

SP - 125

EP - 148

JO - Journal of Scientific Computing

JF - Journal of Scientific Computing

IS - 1

ER -