区间约束平差模型的共轭梯度积极集算法.

This paper mainly studies the adjustment model with interval constraints，in which the adjustment problem is transformed into a quadratic programming problem with interval constraints. A new adjustment al- gorithm with interval constraints is presented, and the accuracy of the parameter solution is evaluated, in which the active set algorithm and unconstrained conjugate gradient optimization algorithm are used to parti- tion and reconstruct the quadratic problems. Because the projection gradient method can rapidly change the composition of the active constraint set, the new algorithm is more efficient than the classical active set meth- od, which can reduce the uncertainty of the model, and maintain the statistical, geometric or physical meaning of priori information, and is suitable for solving large-scale adjustment problems with interval constraints. [ABSTRACT FROM AUTHOR]