利用负荷功率变动态导纳算法解决了节点导纳矩阵病态问题。
By using the variation dynamic admittance algorithm of the load power, the ill-conditional number problem of the node admittance matrix is solved.
本文提出一种克服线性回归模型系数矩阵病态的“紧致最小二乘估计”。
In this paper a "compact least square method" is presented to overcome the ill-conditioned coefficient matrices in the linear regression models.
该算法首先求解目标的高度，避免了方程系数矩阵病态，因而在算法量相当的情况下，可获得较好的目标定位精度。
This algorithm, which first solves target's altitude and avoids ill-conditioned system of equation, can improve the location accuracy with the same operating complexity.
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