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Table of values for cosine to the power n tapering Power of n 1 2 Cosine Cosine2, von Hann, Hanning 0.64 3.92 0.50 3.01 4.93 0.02 0.81 0.91 1.23 1.19 3.14 1.14 23.00 12 0.79 2.10 0.71 3.01 0.50 6.02 0.38 4.26 4.93 0.01 0.67 1.76 1.50 1.44 3.63 0.89 31.47 18 0.85 1.42 0.69 3.18

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It is the discretization of a continuous space that has lead to these residual re ections The theory of PMLs presented here does not easily extend from electromagnetic wave propagation problems in one spatial dimension into propagation problems in two or three spatial dimensions It appears that the rst truly successful extension of PML theory to higher spatial dimensions is due to B renger [15,16] Wu and Fang e [17] claim to have improved the theory still further by improving the suppression of the residual re ections noted above The problem of numerical dispersion was mentioned in Example 124 in the application of the FD method to the simulation of a vibrating string We conclude this chapter with an account of the problem based mainly on the work of Trefethen [22] We will assume lossless propagation, so = = 0 in (12121).

Fig. 2.6 Effect of the ratio s on the number of admissible connections for Flower Garden traces. 1999 IEEE..

Therefore, in a sufficiently small neighborhood of the stationary point x,, (6.12) may be used as an approximation to the function f ( x , A x ) . Since a minimum is a stationary point, an objective function will in a sufficiently small neighborhood of the minimum behave like a quadratic function. This is the reason why fast convergencefor quadraticfunctions is generally considered as a minimum requirement to be met by numerical minimization methods.

We will also assume that the computational region is free space, so = 0 , and = 0 everywhere If we now substitute E(x, t) = E0 sin( t x) and H (x, t) = H0 sin( t x) into either of (12121a) or (12121b), apply the appropriate trigonometric identities, and then cancel out common factors, we obtain the identity sin t 2 = e sin x 2 (12134).

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