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《Science of Surveying and Mapping》 2004-01
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Multi-response-nonlinear LS model for adjustment of GPS network and its hybrid algorithm

LI Shu-shan, TAO Hua-xue ( College of science and engineering., Shandong Univercity of Science and Fechnolongy, Taian 271019, China; College of Geo sparial information science and engineering., Shandong Univercity of Science and Fechnolongy, Taian 271019,China)  
In GPS network, values of several response variables such as the 3-D coordinates of the observation points can be obtained at the same time.By integrating all the information in the response variables, we can get more precise estimation of response parameters. Considering the multi-response GPS data, a multi-response-nonlinear LS model for adjustment of GPS network is established in this paper. In order to solve the model,combining the quasi-Newton method and the trust region method, a new hybrid method of optimization is presented.The hybrid method possesses the properties of global convergence and superlinear convergence.
【Fund】: 国家自然科学基金的资助(40174003)
【CateGory Index】: P228.4
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