并通过实验总结出线性预测，迭代调整，恢复丢失特征点等方法，并对自适应最小二乘法进行了改进。
Some methods like linear prediction, iteration adjustment and recovery of missing feature points are summarized from the experiment, with which the LSM method is improved.
内点法是一种求解线性规划问题的多项式时间算法，其显著特征是其迭代次数与系统规模关系不大。
The interior point method is a polynomial time algorithm for solving linear programming problem, and its number of iterations is independent on the size of system.
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