1997
DOI: 10.1109/20.582608
|View full text |Cite
|
Sign up to set email alerts
|

Adaptive mesh generation in 2D magnetostatic integral formulations

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

1998
1998
2021
2021

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 7 publications
0
2
0
Order By: Relevance
“…For MoM-based methods involving static cases, local error estimates between potentials at adjacent nodes on the geometry have been taken as refinement criterion in [13]. Adaptive mesh generation scheme for 2-D magnetostatic integral equations has been covered in [14], a fuzzy logic-based scheme for nonlinear 3-D magnetostatic cases in [15], and a framework to permit easy hp-refinement using generalized method of moment is presented in [16]. Recently, for 3-D full-wave problems, an automatic h-refinement scheme for discontinuous Galerkin integral equations has been reported in [17].…”
Section: Introductionmentioning
confidence: 99%
“…For MoM-based methods involving static cases, local error estimates between potentials at adjacent nodes on the geometry have been taken as refinement criterion in [13]. Adaptive mesh generation scheme for 2-D magnetostatic integral equations has been covered in [14], a fuzzy logic-based scheme for nonlinear 3-D magnetostatic cases in [15], and a framework to permit easy hp-refinement using generalized method of moment is presented in [16]. Recently, for 3-D full-wave problems, an automatic h-refinement scheme for discontinuous Galerkin integral equations has been reported in [17].…”
Section: Introductionmentioning
confidence: 99%
“…For MoM based methods involving static cases, local error estimates between potentials at adjacent nodes on the geometry has been taken as refinement criterion in [4]. Adaptive mesh generation scheme for 2D magnetostatic integral equations has been covered in [5], a fuzzy logic based scheme for non-linear 3D magnetostatic cases in [6], and a framework to permit easy hprefinement using Generalized Method of Moment (GMM) is presented in [7].…”
Section: Introductionmentioning
confidence: 99%