其结果表明，按最小二乘平差求转换参数时，必须使用相关权阵。
The result demonstrates that the correlated weight matrix must be applied to solving transformation parameters according to least square adjustment.
为了寻求一种更有效的非线性最小二乘平差算法，根据同伦思想提出了一种改进的同伦算法。
Based on the homotopy idea, an improved homotopy algorithm was proposed in order to search a more efficient algorithm for nonlinear least squares adjustment.
对于非线性最小二乘平差参数的方差协方差传播的研究，必须与非线性最小二乘平差的研究同步。
The research of variance covariance propagation of nonlinear least squares adjusted parameters must keep in step with the development of nonlinear least squares adjustment in this area.
应用非线性最小二乘平差方法阻尼最小二乘法研究了数字化数据误差处理，并将该方法与最小二乘条件平差进行了比较。
This paper presents a study on error processing of map digitized data with nonlinear least squares adjustment which is called damped least squares.
该算法利用非线性最小二乘平差原理对CCD地球敏感器成像进行处理，实现了在月球表面CCD地球敏感器的矢量观测功能。
Non-linear least squares bundle adjustment is used to process the images from CCD earth sensor, consequently, the vector observation function of CCD earth sensor is achieved on lunar environment.
结果显示不等式限制条件下的最小二乘平差的传统解实际上是基于后验分布模式下的贝叶斯解，而且从方差最小的意义上来讲它不是最优解。
The results show that traditional solution of LSI is actually a Bayes solution based on the mode of the posterior distribution and that it is not the best solution in the sense of variance minimizing.
当平差模型中存在复共线关系时，未知参数的最小二乘估计很不可靠。
The least Square estimates are not reliable when there exists multicollinearity in adjustment model.
在此基础上，利用最小二乘配置原理构造了处理折光误差的迭代平差模型，取得了良好的效果。
Then, on the basis of least squares collocation, an iterative model is given to dispose the refraction error, and the effect is satisfactory.
从最小二乘配置出发，推导了附加先验约束的高精度GPS网平差的参数估计和精度估计公式。
Substantively to say, the adjustment model of GPS network with apriori constraint is a kind of Least Squares Collocation model.
在最小二乘测量平差的函数模型求解问题中，最后都归结为线性方程组的求解问题。
Measured in the least squares adjustment of the function model to solve problems, eventually reduced to the problem of linear equations.
在最小二乘测量平差的函数模型求解问题中，最后都归结为线性方程组的求解问题。
Measured in the least squares adjustment of the function model to solve problems, eventually reduced to the problem of linear equations.
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