Journal Article10.1109/8.718575
Reducing the phase error for finite-difference methods without increasing the order
89
TL;DR: In this paper, the phase error in finite-difference (FD) methods is related to the spatial resolution and thus limits the maximum grid size for a desired accuracy, which is typically achieved by defining finer resolutions or implementing higher order methods.
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Abstract: The phase error in finite-difference (FD) methods is related to the spatial resolution and thus limits the maximum grid size for a desired accuracy. Greater accuracy is typically achieved by defining finer resolutions or implementing higher order methods. Both these techniques require more memory and longer computation times. In this paper, new modified methods are presented which are optimized to problems of electromagnetics. Simple methods are presented that reduce numerical phase error without additional processing time or memory requirements. Furthermore, these methods are applied to both the Helmholtz equation in the frequency domain and the finite-difference time-domain (FDTD) method. Both analytical and numerical results are presented to demonstrate the accuracy of these new methods.
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Citations
Finite difference time domain dispersion reduction schemes
TL;DR: An unified methodology for deriving new difference schemes is presented, based on certain modifications of the characteristic equation that accompanies any given discretized version of the wave equation.
149
Approximate Crank-Nicolson schemes for the 2-D finite-difference time-domain method for TE/sub z/ waves
TL;DR: In this paper, two implicit finite-difference time-domain (FDTD) methods are presented for a two-dimensional TE/sub z/ wave, which are based on the unconditionally stable Crank-Nicolson scheme.
142
Comparison of the dispersion properties of several low-dispersion finite-difference time-domain algorithms
K.L. Shlager,John B. Schneider +1 more
TL;DR: In this article, a comparison of the accuracy of several low-dispersion finite-difference time-domain (FDTD) schemes in two dimensions is presented and the dispersion relation of each FDTD algorithm is also given.
122
Dispersion-relation-preserving FDTD algorithms for large-scale three-dimensional problems
Shumin Wang,Fernando L. Teixeira +1 more
TL;DR: In this article, dispersion-relation-preserving (DRP) algorithms were proposed to minimize the numerical dispersion error in large-scale 3D finite-difference time-domain (FDTD) simulations.
Low-dispersion algorithms based on the higher order (2,4) FDTD method
TL;DR: In this paper, the authors discuss the enhancement of numerical dispersion characteristics in the context of the finite-difference time-domain method based on a (2,4) computational stencil.
66
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