1999
DOI: 10.1137/s0036142997330809
|View full text |Cite
|
Sign up to set email alerts
|

The Conditioning of Boundary Element Equations on Locally Refined Meshes and Preconditioning by Diagonal Scaling

Abstract: Consider a boundary integral operator on a bounded, d-dimensional, surface in R d+1. Suppose that the operator is a pseudodi erential operator of order 2m, m 2 R, and that the the associated bilinear form is symmetric and positive-de nite. (The surface may be open or closed, and m may be positive or negative). Let B denote the sti ness matrix arising from a Galerkin boundary element method with standard nodal basis functions. If local mesh re nement is used then the partition may contain elements of very widel… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

4
86
0

Year Published

2000
2000
2023
2023

Publication Types

Select...
8
2

Relationship

3
7

Authors

Journals

citations
Cited by 83 publications
(90 citation statements)
references
References 10 publications
4
86
0
Order By: Relevance
“…Recent work on the conditioning of finite element matrices has focused on upper bounds for the Euclidean condition number in the case of locally refined meshes; see, e.g., [1,3]. The objective of the present paper is to give upper and lower bounds on κ p (A) for p ∈ [1, +∞] when A is the stiffness matrix associated with the finite element approximation of a linear, abstract model problem posed in Banach spaces.…”
Section: Introductionmentioning
confidence: 99%
“…Recent work on the conditioning of finite element matrices has focused on upper bounds for the Euclidean condition number in the case of locally refined meshes; see, e.g., [1,3]. The objective of the present paper is to give upper and lower bounds on κ p (A) for p ∈ [1, +∞] when A is the stiffness matrix associated with the finite element approximation of a linear, abstract model problem posed in Banach spaces.…”
Section: Introductionmentioning
confidence: 99%
“…Our analysis will cover faults that can be represented by a random matrix belonging to S ε . This means that the analysis will cover each of the cases (i) when the fault is detectable and mitigated using the laissez-faire strategy, and (ii) when the fault is silent but is relatively small in the sense that it may be modelled using (2). However, our analysis will not cover the important case involving faults which result in entries in the matrices or right hand sides in the problem being corrupted.…”
Section: Probabilistic Model Of Faultsmentioning
confidence: 99%
“…Inequality (3.4) was given in [32], Lemma 3.2, for the case when the norm in H s is defined by the method of complex interpolation, and was proved in [4] in the case of real interpolation.…”
Section: Lemma 34 Let K H Be a Triangle (Respectively A Parallelogmentioning
confidence: 99%