2020
DOI: 10.1002/adts.201900221
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Higher‐Order Approximate CN‐PML Theory for Magnetized Ferrite Simulations

Abstract: Two unconditionally stable implementations of the higher‐order perfectly matched layer are proposed for the modeling of magnetized ferrite in the finite‐difference time‐domain lattice. By incorporating the approximate Crank–Nicolson (CN) algorithm and the modified auxiliary differential equation (ADE) approach, the proposed implementations take full advantage of the CN methods in terms of reducing the computational time and improving the computational efficiency. Approximate CN algorithms including the Crank–N… Show more

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Cited by 11 publications
(12 citation statements)
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References 22 publications
(32 reference statements)
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“…Such operation results in the decrement of efficiency and increment of accuracy. Thus, compared with the CNAD scheme, CNDG can be regarded as the compromise between the efficiency and accuracy [28].…”
Section: Introductionmentioning
confidence: 99%
“…Such operation results in the decrement of efficiency and increment of accuracy. Thus, compared with the CNAD scheme, CNDG can be regarded as the compromise between the efficiency and accuracy [28].…”
Section: Introductionmentioning
confidence: 99%
“…In order to alleviate such phenomenon, series of approximate CN algorithms are proposed 13,14 . Among them, CN approximate‐decoupling (AD) procedure shows considerable efficiency and accuracy during the whole simulation 15 . Meanwhile, CNAD algorithm has been gradually employed in GPR problems within the rectangular coordinate system 16 .…”
Section: Introductionmentioning
confidence: 99%
“…To avoid the calculation of the sparse matrices, approximate CN algorithms are introduced including the CN approximate-decoupling (CNAD) and CN Douglas–Gunn (CNDG) algorithms 17 , 18 . It has been testified that the CNDG algorithm shows higher accuracy compared with CNAD algorithm 19 . In addition, from the previously works, CNDG algorithm has been extensively employed merely in TM cases 19 21 .…”
Section: Introductionmentioning
confidence: 99%
“…It has been testified that the CNDG algorithm shows higher accuracy compared with CNAD algorithm 19 . In addition, from the previously works, CNDG algorithm has been extensively employed merely in TM cases 19 21 . This limits the development of the CNDG algorithm.…”
Section: Introductionmentioning
confidence: 99%
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