AN IMPROVED ALGORITHM OF PARAMETER ESTIMATION AND ACCURACY ASSESSMENT OF LARGE-SCALE NORMAL EQUATIONS
Chen Qiujie1，2) ; Zhang Xingfu3) ; and Shen Yunzhong1，2)
1)College of Surveying and Geoinformatics, Tongji University, Shanghai 200092;2)Center for Spatial Information Science and Sustainable Development, Tongji University,Shanghai 200092;3)Departments of Surveying and Mapping, Guangdong University of Technology, Guangzhou 510006
Abstract A largescale normal equation is often demanded in modern geodetic data processing, whereas the traditional algorithm performs very slowly in parameter estimation and accuracy assessment. This paper presents an improved algorithm of largescale normal equations by using Cholesky decomposition and the OpenMP parallel library. The simulation experiments show that the improved algorithm can obtain the same results as the traditional algorithm do,but have a better performance in parameter estimation and accuracy assessment compared with traditional algorithm, and the OpenMP parallel library is more suitable for solving largescale normal equations.
Chen Qiujie,Zhang Xingfu, and Shen Yunzhong. AN IMPROVED ALGORITHM OF PARAMETER ESTIMATION AND ACCURACY ASSESSMENT OF LARGE-SCALE NORMAL EQUATIONS[J]. , 2013, 33(1): 74-77.
Chen Qiujie,Zhang Xingfu, and Shen Yunzhong. AN IMPROVED ALGORITHM OF PARAMETER ESTIMATION AND ACCURACY ASSESSMENT OF LARGE-SCALE NORMAL EQUATIONS[J]. jgg, 2013, 33(1): 74-77.
