2005
DOI: 10.1080/00207210500171364
|View full text |Cite
|
Sign up to set email alerts
|

Application of the inner–outer flexible GMRES-FFT method to the analysis of scattering and radiation by cavity-backed patch antennas and arrays

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2008
2008
2009
2009

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 3 publications
0
2
0
Order By: Relevance
“…It is desirable to be able to switch within the outer iteration instead of restarting. For the generalized minimum residual method (GMRES) algorithm, this can be easily accomplished with the help of a rather simple modification of the standard algorithm, referred to as the flexible GMRES (FGMRES) [18][19][20][21]. An important property of FGMRES is that it satisfies the residual norm minimization property over the preconditioned Krylov subspace just as in the standard GMRES algorithm.…”
Section: Introductionmentioning
confidence: 99%
“…It is desirable to be able to switch within the outer iteration instead of restarting. For the generalized minimum residual method (GMRES) algorithm, this can be easily accomplished with the help of a rather simple modification of the standard algorithm, referred to as the flexible GMRES (FGMRES) [18][19][20][21]. An important property of FGMRES is that it satisfies the residual norm minimization property over the preconditioned Krylov subspace just as in the standard GMRES algorithm.…”
Section: Introductionmentioning
confidence: 99%
“…The GMRESR-FFT method is used to accelerate the solution of the impedance matrix equation [11][12][13]. This method involves an outer generalized conjugate residual method (GCR) [14] and an inner generalized minimal residual method (GMRES) [15,16], where the inner GMRES acts as a variable preconditioner [13,[17][18][19][20] for the outer GCR. A typical FSS structure is analyzed and the good results demonstrate the validity and efficiency of the proposed algorithm.…”
Section: Introductionmentioning
confidence: 99%