2021
DOI: 10.1002/adts.202000309
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Implicit Approximate Crank–Nicolson Theory for Anisotropic Ferrite Structure Simulation with Enhanced Absorption

Abstract: To simulate ferrite structures with anisotropic characteristics efficiently, an unconditionally stable implementation is proposed by incorporating the approximate Crank–Nicolson (CN) theory and a complex‐frequency‐shifted perfectly matched layer (CFS‐PML) formulation in the finite‐difference time‐domain lattice. More specifically, the proposed implementation combines the CN approximate factorization splitting procedure with bilinear transformation in the z‐domain within the CFS‐PML regions. To simulate the uni… Show more

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Cited by 4 publications
(2 citation statements)
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“…However, the CNAFS algorithm must solve nine matrices in a single update cycle which results in a significant increment in simulation duration and calculation resources [ 25 ]. The CNDS algorithm solves six matrices in a full update cycle resulting in improvement in terms of effectiveness compared with the CNAFS algorithm [ 26 ].…”
Section: Introductionmentioning
confidence: 99%
“…However, the CNAFS algorithm must solve nine matrices in a single update cycle which results in a significant increment in simulation duration and calculation resources [ 25 ]. The CNDS algorithm solves six matrices in a full update cycle resulting in improvement in terms of effectiveness compared with the CNAFS algorithm [ 26 ].…”
Section: Introductionmentioning
confidence: 99%
“…Thus, the algorithm can be simplified by avoiding the calculation of repeated coefficients, field components, and auxiliary variables. However, it has been testified that the DS algorithm shows accuracy degeneration due to the direct approximation of field components [27,28].…”
Section: Introductionmentioning
confidence: 99%