中文摘要：

讨论附加线性不等式约束的条件平差模型的解算思路。根据K-T定理,对拉格朗日乘子λ进行约束,通过迭代算法求解满足K-T条件的拉格朗日乘子,进而求得未知参数的最佳估值,并用算例验证该方法的可行性。

英文摘要：

Nearly all discussions about attaching linear inequality constraints are based on parameter adjustment. This paper proposes an approach to solve condition adjustment models with linear ine- quality constraints. The main idea includes taking constraints on the Lagrange multiplier according to the K-T theory, calculating the multiplier through an iterative algorithm, and then obtaining the opti- mum solution of the unknown parameters. The feasibility of this method is illustrated in an example.