According to sparse feature of the matrix, we use Gauss-Sadel resolution method to solve such equations and use inner and outer iteration and multi-curent poles techniques to improve the quality of image of resistivity structures.
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根据反演方程系数的稀疏特徵,采用改进的降维高斯赛德尔迭代法来求解该反演方程,并通过内外迭代的结合,对大型稀疏欠定方程能很快收敛,得到可靠的解答。
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