2006
DOI: 10.1109/tap.2005.863095
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A FEM Domain Decomposition Method for Photonic and Electromagnetic Band Gap Structures

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Cited by 148 publications
(77 citation statements)
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“…We have thus tested the convergence of the method with respect to α i . For the same value of the stopping criterion of the GMRES algorithm, we have noted in Table 2 which is the value suggested in [33]. As one can remark, this value is also an optimal value in terms of iterations for our proposed method.…”
Section: Numerical Resultsmentioning
confidence: 78%
See 1 more Smart Citation
“…We have thus tested the convergence of the method with respect to α i . For the same value of the stopping criterion of the GMRES algorithm, we have noted in Table 2 which is the value suggested in [33]. As one can remark, this value is also an optimal value in terms of iterations for our proposed method.…”
Section: Numerical Resultsmentioning
confidence: 78%
“…This method has been applied in many domains like mechanics [19,20], acoustic wave propagation [21][22][23], and in electromagnetism [24][25][26][27][28][29][30][31][32]. For example, related DDM methods have been developed for simulating the interactions of photonic crystals with electromagnetic waves [33,34].…”
Section: Introductionmentioning
confidence: 99%
“…Recently, a non-overlapping finite element domain decomposition method has been applied successfully in electromagnetic scattering and radiation problems [17][18][19][20][21][22][23][24]. Numerical experiments demonstrate the efficient performance of DDM, especially for periodic structures.…”
Section: Introductionmentioning
confidence: 99%
“…In order to improve the convergence of the conventional FE-BI-MLFMA and save the computer memory, a non-overlapping domain decomposition method presented in [19,20] is applied to FE-BI-MLFMA effectively. Additionally, a novel mixed absorbing boundary condition and block symmetry successive over relaxation (ABC-SSOR) preconditioner is proposed to further accelerate the convergence.…”
Section: Introductionmentioning
confidence: 99%
“…It is not easy to satisfy the memory requirement to solve large-scale problem using MOM even on most powerful computers. One of the approaches to overcome such a problem is the domain decomposition method, which has found wide applications in the EM community [8][9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%