"最小二乘法平差" can be translated into English as "least squares adjustment".
This term is commonly used in the fields of surveying, geodesy, and data fitting to describe the process of minimizing the sum of the squares of the residuals (differences between observed and computed values) to obtain the best-fit parameters or adjustments.