A Memory-Efficient Formulation of the Unconditionally Stable FDTD Method for Solving Maxwell's Equations
Yun Yi, Bin Chen, Weixing Sheng, Pei Yu-ling
Abstract
Yun Yi, Bin Chen, Weixing Sheng, Pei Yu-ling
Abstract
An unconditionally stable finite-difference time-domain (FDTD) method based on the weighted Laguerre polynomials (WLP) for solving Maxwell's equations had been proposed. In this paper, a memory efficient modification to the proposed methodology is described. In this novel modification, the divergence theorem is introduced in the WLP-FDTD method, in which Maxwell's divergence equation replaces one of the curl equations. This leads to a more memory-efficient matrix equation and a more rapid computational speed. A numerical example considering a two dimensional (2-D) TE case is present to validate the efficiency of the proposed algorithm.
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An unconditionally stable finite-difference time-domain (FDTD) method based on the weighted Laguerre polynomials (WLP) for solving Maxwell's equations had been proposed. In this paper, a memory efficient modification to the proposed methodology is described. In this novel modification, the divergence theorem is introduced in the WLP-FDTD method, in which Maxwell's divergence equation replaces one of the curl equations. This leads to a more memory-efficient matrix equation and a more rapid computational speed. A numerical example considering a two dimensional (2-D) TE case is present to validate the efficiency of the proposed algorithm.
Key concepts: Finite-difference time-domain method, Scattering-matrix method, Maxwell's equations, Laguerre polynomials, Divergence (linguistics), Electromagnetic field solver, Mathematics, Curl (programming language)