论文部分内容阅读
本文讨论了Ｇ－Ｍ模型下一次范数最小ＬＡ平差和最小二乘ＬＳ平差各量的表达形式。利用帽子矩阵Ｈ的性质，首次导出了ＬＡ平差和ＬＳ平差残差之间的关系。利用它们的关系可将ＬＡ平差结果转化为ＬＳ平差结果。
In this paper, the expressions of the minimum norm lag and the least square LS adjustment for the next norm in the G-M model are discussed. Using the properties of the hat matrix H, the relationship between the LA adjustment and the LS adjustment residual is derived for the first time. Using their relationship, the LA adjustment result can be transformed into the LS adjustment result.