Parameter Estimate Algorithm in Adjustment Model with Interval Constraint
作者:
谢雪梅;宋迎春;肖兆兵
通讯作者:
Song, Yingchun(csusyc@csu.edu.cn)
作者机构:
[谢雪梅; 宋迎春] Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring of Ministry of Education, Central South University, Changsha, 410083, China
[谢雪梅] School of Civil Engineering, Central South University of Forestry and Technology, Changsha, 410004, China
[谢雪梅; 宋迎春; 肖兆兵] School of Geosciences and Info-physics, Central South University, Changsha, 410083, China
通讯机构:
[Song, Y.] K
Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring of Ministry of Education, Central South University, Changsha, China
There are usually some uncertain additional information or prior information on parameters in surveying adjustment models, which can constraint on the parameters, and guarantee uniqueness and stability of parameters solution.This paper mainly focused on the studies of adjustment model with box constraints.Firstly, using the regular splitting method of matrix, adjustment model is converted to a simple quadratic programming problem.Then a new iterative algorithm of parameter estimation is established.The algorithm convergence is given.Finally, wi...