2008
DOI: 10.1109/tap.2008.926783
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On Preconditioning and the Eigensystems of Electromagnetic Radiation Problems

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Cited by 20 publications
(11 citation statements)
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“…With the introduction of the relative wave impedance in (29), the residual of (29) can be interpreted as the tangential error electric field on . We shall test with , the same function space for the electric current , and subsequently, the MFIE surface penalty term can be written as (30) A sesquilinear form can be defined for each element as (31) Consequently, by extending the MFIE surface penalty terms to include all the elements, we have the following expression:…”
Section: ) Magnetic Field Integral Equationmentioning
confidence: 99%
“…With the introduction of the relative wave impedance in (29), the residual of (29) can be interpreted as the tangential error electric field on . We shall test with , the same function space for the electric current , and subsequently, the MFIE surface penalty term can be written as (30) A sesquilinear form can be defined for each element as (31) Consequently, by extending the MFIE surface penalty terms to include all the elements, we have the following expression:…”
Section: ) Magnetic Field Integral Equationmentioning
confidence: 99%
“…As it is detailed in [9], radiation problems give rise to an impedance matrix ill-conditioned with disparate eigenvalues.…”
Section: Preconditioner Formulationmentioning
confidence: 99%
“…The convergence of the iterative solutions for this kind of problems is often very slow, essentially due to the localized nature of the excitation defined over a small portion of the mesh representing the antenna. It is also caused by the use of non-uniform meshes to accurately model the details in the neighbourhood of the feed point [9]. The convenience of applying effective preconditioners for radiation problems is thus highlighted.…”
Section: Introductionmentioning
confidence: 99%
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“…Applications range from advanced antenna design [8,9], stealth technologies [10,11], integrated circuits [12] to optics and photonics [13,14]. One advantage of SIE is that both the analysis and unknowns reside only on the boundary surfaces of the targets.…”
Section: Introductionmentioning
confidence: 99%