在极化率正演计算和电阻率反演成像中，偏导数矩阵的计算是比较关键的问题。
The calculation of the partial derivatives is important in modeling IP and inversion resistivity.
采用矩阵迭代法可以直接迭代计算特征向量导数，避免了对奇异灵敏度方程的求解。
Using matrix iteration methods, the eigenvector derivatives can be iterated directly, solving the singular sensitivity equation can be avoided.
该方法仅需进行一次系统矩阵的分解就可获得高精度的多个复振型导数。
Finally, many complex mode shape derivatives of high accuracy can be obtained by decomposing system matrices only once.
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