Solving the Unknown Parameters in Conditional Adjustment
Models with Linear Inequality Constraints
1 College of Surveying, Mapping and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai 200092, China
2 Laboratory of Geographic Information Science, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China
Abstract 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 inequality 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 optimum solution of the unknown parameters. The feasibility of this method is illustrated in an example.
ZHANG Songlin,ZHANG Kun. Solving the Unknown Parameters in Conditional Adjustment
Models with Linear Inequality Constraints[J]. jgg, 2015, 35(6): 1049-1052.
ZHANG Songlin,ZHANG Kun. Solving the Unknown Parameters in Conditional Adjustment
Models with Linear Inequality Constraints[J]. jgg, 2015, 35(6): 1049-1052.
