Study of the backward difference and local discontinuous Galerkin (LDG) methods for solving fourth-order partial integro-differential equations (PIDEs) with memory terms: stability analysis
type: Item
instance of: scholarly article
title: Study of the backward difference and local discontinuous Galerkin (LDG) methods for solving fourth-order partial integro-differential equations (PIDEs) with memory terms: stability analysis
zbMATH Open document ID: 1505.65266
author: Hadi Mohammadi-Firouzjaei
author: Hojatollah Adibi
author: Mehdi Dehghan
published in: Applied Numerical Mathematics
publication date: 2022-12-09T00:00:00Z
Mathematics Subject Classification ID: 65M60
Mathematics Subject Classification ID: 65M06
Mathematics Subject Classification ID: 65N30
Mathematics Subject Classification ID: 65M12
Mathematics Subject Classification ID: 35R09
Mathematics Subject Classification ID: 35B35
Mathematics Subject Classification ID: 45K05
Mathematics Subject Classification ID: 45E10
zbMATH DE Number: 7630351
zbMATH Keywords: backward difference method
zbMATH Keywords: local discontinuous Galerkin method
zbMATH Keywords: fourth-order partial integro-differential equations
zbMATH Keywords: weakly singular kernels
zbMATH Keywords: stability analysis
MaRDI profile type: Publication
full work available at URL: j.apnum.2022.11.005
OpenAlex ID: W4308804223
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Study of the backward difference and local discontinuous Galerkin (LDG) methods for solving fourth-order partial integro-differential equations (PIDEs) with memory terms: stability analysis (cites work)
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Study of the backward difference and local discontinuous Galerkin (LDG) methods for solving fourth-order partial integro-differential equations (PIDEs) with memory terms: stability analysis (cites work)
cites work: Weak Galerkin finite element methods for linear parabolic integro-differential equations

Study of the backward difference and local discontinuous Galerkin (LDG) methods for solving fourth-order partial integro-differential equations (PIDEs) with memory terms: stability analysis (DOI)
DOI: 10.1016/J.APNUM.2022.11.005