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The application of the generalized conjugate residual algorithm to accelerate the fast multipole method

机译:广义共轭残差算法在加速快速多极子方法中的应用

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Scattering by an arbitrarily shaped conductor can be obtained by finding the solution of an integral equation where the unknown function is the induced current distribution. The integral equation is usually discretized into a matrix equation by the method of moments (MoM) and solved by iterative techniques, for example, the conjugate gradient method (CG). In this paper, the generalized conjugate residual algorithm is employed to replace the conjugate gradient method as the iterative method and the fast multipole method (FMM) is used to expedite the matrix-vector products. Because the generalized conjugate residual method makes the search direction vectors of each iteration Z-orthogonal with respect to those obtained from earlier iterations, it converges much faster than the conjugate gradient method. Numerical examples demonstrate this advantage.
机译:可以通过找到一个积分方程的解来获得任意形状的导体的散射,其中未知函数是感应电流分布。积分方程通常通过矩量法(MoM)离散为矩阵方程,并通过迭代技术(例如共轭梯度法(CG))求解。本文采用广义共轭残差算法代替共轭梯度法作为迭代方法,并采用快速多极子方法(FMM)来加快矩阵向量乘积。因为广义共轭残差方法使每次迭代的搜索方向向量相对于从早先迭代获得的搜索方向向量都是正交的,所以它的收敛速度比共轭梯度法快得多。数值示例证明了这一优势。

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