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引用本文:陈秋杰,张兴福,沈云中.???????????????????????????????[J].大地测量与地球动力学,2013,33(1):74-77.
作者姓名:陈秋杰  张兴福  沈云中
作者单位:1. 同济大学测绘与地理信息学院,上海200092;同济大学空间信息与可持续发展应用中心,上海200092
2. 广东工业大学测绘工程系,广州,510006
基金项目:国家973计划重点项目(2012CB957703);国家自然科学基金(41074018,41104002)
摘    要:????????????????????????????????????飬???????????????????????????Ч??????????t???Cholesky???????OpenMP???п?????????и?????????????????????????????????????????????????????£???????Ч??????????????????OpenMP???п??????????????????????????

关 键 词:??????  ??С???????  ????  Cholesky???  OpenMP  

AN IMPROVED ALGORITHM OF PARAMETER ESTIMATION AND ACCURACY ASSESSMENT OF LARGE-SCALE NORMAL EQUATIONS
Chen Qiujie,Zhang Xingfu,and Shen Yunzhong.AN IMPROVED ALGORITHM OF PARAMETER ESTIMATION AND ACCURACY ASSESSMENT OF LARGE-SCALE NORMAL EQUATIONS[J].Journal of Geodesy and Geodynamics,2013,33(1):74-77.
Authors:Chen Qiujie  Zhang Xingfu  and Shen Yunzhong
Institution:1,2) 1)College of Surveying and Geo-informatics,Tongji University,Shanghai 2000922)Center for Spatial Information Science and Sustainable Development,Tongji University,Shanghai 2000923)Departments of Surveying and Mapping,Guangdong University of Technology,Guangzhou 510006
Abstract:A large scale 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 large scale 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 large scale normal equations.
Keywords:normal equation  least squares adjustment  matrix  Cholesky decomposition  OpenM
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