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A comparative study of wavelet matrix transformations for the solution of integral equations

机译:小波矩阵变换求解积分方程的比较研究

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The application of wavelets for the solution of electromagnetic field integral equation yields sparse matrix equations which can be solved efficiently by using sparse matrix techniques. In this paper, the wavelet matrix transforms using the semi-orthogonal wavelets (SOW) and the Daubechies orthogonal wavelets (DOW) are applied to the solution of integral equations and their performance is compared by investigating the convergence rate when the conjugate gradient (CG) method is employed. Since the SOW transform yields a matrix with a larger condition number than that corresponding to the DOW transform, it is expected that the convergence rate is much better in the latter case. Numerical simulations are conducted for the transverse magnetic (TM) scattering by conducting cylinders and the convergence rate of the CG iterative process is determined for the matrix equations transformed using the SOW and the DOW. The computed results confirm the theoretical expectations.
机译:小波在求解电磁场积分方程中的应用产生了可通过使用稀疏矩阵技术有效求解的稀疏矩阵方程。本文将半正交小波(SOW)和Daubechies正交小波(DOW)的小波矩阵变换应用于积分方程的解,并通过研究共轭梯度(CG)时的收敛速度来比较它们的性能。使用方法。由于SOW变换产生的条件数大于与DOW变换对应的条件数的矩阵,因此,在后一种情况下,可以预期收敛速度要好得多。通过传导圆柱对横向磁(TM)散射进行了数值模拟,并确定了使用SOW和DOW变换后的矩阵方程的CG迭代过程的收敛速度。计算结果证实了理论上的期望。

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