在多种常用的非线性局域优化算法中，高斯·牛顿算法具有较快的收敛速度。
In many usually used nonlinear local optimization algorithms, Gauss Newton's is of fast convergent speed.
该算法通过两步 递 归最优化方法来实现 ，并采用改进的高斯—牛顿法来确保算法的快速收敛 性。
The EML registration is achieved by two step recursive optimization. The quick convergence is assured through the improved Gauss Newton algorithm.
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