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Multi-Parameter Design and Optimization for the Decomposition Projective Method and Its Applications

机译:分解投影法的多参数设计与优化及其应用

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摘要

In order to solve the electromagnetic problems on the large multi-branch domains, the decomposition projective method(DPM) is generalized for multi-subspaces in this paper. Furthermore multi-parameters are designed for DPM, which is called the fast DPM(FDPM), and the convergence ratio of the above algorithm is greatly increased. The examples show that the iterative number of the FDPM with optimal parameters decreases much more, which is less than one third of the DPM iteration number. After studying the algorithm of FPDM, the representations of the optimal parameters are also given. Finally the applying efficiency of FPDM is raised.
机译:为了解决大型多分支域上的电磁问题,本文针对多子空间推广了分解投影方法(DPM)。此外,为DPM设计了多参数,称为快速DPM(FDPM),大大提高了上述算法的收敛率。这些示例表明,带有最佳参数的FDPM的迭代次数减少得更多,不到DPM迭代次数的三分之一。在研究了FPDM算法之后,给出了最优参数的表示。最终提高了FPDM的应用效率。

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