1·The parameters are estimated with non linear least square method.
模型中的参数估计采用非线性最小二乘法。
2·It is based on the numerical integration and matrix least square method.
它是基于数值积分和矩阵最小二乘法的数值方法。
3·The parameters of error model were identified by the least square method.
采用最小二乘辨识方法，得到感应同步器测角误差模型的系数。
4·The error compensation of test data is achieved with the least square method.
最后基于最小二乘法原理实现了测试数据的误差补偿。
5·The least square method is compared with normal arithmetic to show its superiority.
通过将其与一般算法进行比较，体现了最小二乘法的优越性。
6·The paper discusses the improved least square method for polynomial differentiation.
本文讨论了多项式微分的改进型最小二乘方法。
7·The parameters of the kinetic equation were estimated by the linear least square method.
动力学方程中的参数用线性最小二乘法估计。
8·It is difficult to simulate a velocity profile with the traditional least square method.
传统的最小二乘法拟合流速剖面存在一定的困难。
9·Besides, the radius precision is accomplished by least square method with radius constraint.
基于设计半径已知条件，利用半径约束最小二乘法提高测量精度。
10·The Application of least square method in chemistry data treatment is analysed through two examples.
通过实例分析了最小二乘法原理在化学数据处理中的应用。