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An alternating iterative MFS algorithm for the Cauchy problem for the modified Helmholtz equation

机译:修正的Helmholtz方程的Cauchy问题的交替迭代MFS算法

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We investigate the numerical implementation of the alternating iterative algorithm originally proposed by Kozlov et al. (Comput Math Math Phys 31:45–52) for the Cauchy problem associated with the two-dimensional modified Helmholtz equation using a meshless method. The two mixed, well-posed and direct problems corresponding to every iteration of the numerical procedure are solved using the method of fundamental solutions (MFS), in conjunction with the Tikhonov regularization method. For each direct problem considered, the optimal value of the regularization parameter is chosen according to the generalized cross-validation criterion. An efficient regularizing stopping criterion which ceases the iterative procedure at the point where the accumulation of noise becomes dominant and the errors in predicting the exact solutions increase, is also presented. The iterative MFS algorithm is tested for Cauchy problems for the two-dimensional modified Helmholtz operator to confirm the numerical convergence, stability and accuracy of the method.
机译:我们研究了Kozlov等人最初提出的交替迭代算法的数值实现。 (Comput Math Math Phys 31:45–52)解决了与使用无网格方法的二维修正Helmholtz方程相关的柯西问题。使用基本解法(MFS)结合Tikhonov正则化方法,解决了与数值过程的每次迭代相对应的两个混合的,位置适当的直接问题。对于所考虑的每个直接问题,根据广义交叉验证准则选择正则化参数的最佳值。还提出了一种有效的正则化停止准则,该准则在噪声的累积变得占优势并且预测精确解的误差增加时停止迭代过程。针对二维改进的亥姆霍兹算子,针对柯西问题对迭代MFS算法进行了测试,以确认该方法的数值收敛性,稳定性和准确性。

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