首页> 外文期刊>The Journal of integral equations and applications >MULTILEVEL AUGMENTATION METHODS FOR NONLINEAR BOUNDARY INTEGRAL EQUATIONS II: ACCELERATED QUADRATURES AND NEWTON ITERATIONS
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MULTILEVEL AUGMENTATION METHODS FOR NONLINEAR BOUNDARY INTEGRAL EQUATIONS II: ACCELERATED QUADRATURES AND NEWTON ITERATIONS

机译:非线性边界积分方程的多级增强方法II:加速的正交和牛顿分离

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摘要

A fast multilevel augmentation method (MAM) was proposed recently by the same authors for solving a class of nonlinear boundary integral equations. In this paper, we develop accelerated quadrature formulas for computing the integrals involved in the MAM and approximate iteration for solving the resulting nonlinear system. Specifically, we employ a product integration scheme for computing the singular integrals which appear in the matrices involved in the MAM and introduce an approximation technique in the Newton iteration for solving the resulting nonlinear systems to avoid repeated computation in generating their Jacobian matrices. The use of these two techniques results in a modified MAM which speeds up its computation. We show that the modified MAM preserves the optimal convergence order of the original one while reducing computational costs. Numerical results are presented to demonstrate the approximation accuracy and computational efficiency of the proposed modified MAM, with a comparison to those of the original one and a known algorithm of Atkinson and Chandler.
机译:同一作者最近提出了一种快速的多级增广方法(MAM),用于求解一类非线性边界积分方程。在本文中,我们开发了加速正交公式来计算MAM中涉及的积分,并对近似迭代法求解了所得的非线性系统。具体来说,我们采用乘积积分方案来计算出现在MAM所涉及的矩阵中的奇异积分,并在牛顿迭代中引入一种近似技术来求解所得的非线性系统,以避免在生成其Jacobian矩阵时进行重复计算。这两种技术的使用产生了改进的MAM,可加快其计算速度。我们表明,改进的MAM保留了原始算法的最佳收敛顺序,同时降低了计算成本。数值结果表明,与原始算法和Atkinson和Chandler的已知算法相比,改进后的MAM的近似精度和计算效率更高。

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