ISSN: 1003-6326
CN: 43-1239/TG
CODEN: TNMCEW

Vol. 13    No. 3    June 2003

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Solution model of nonlinear integral adjustment including different kinds of observing data with different precisions
GUO Jin-yun (郭金运), TAO Hua-xue (陶华学)
(Institute of Geo-information Science and Technology,
Shandong University of Science and Technology, Tai'an 271019, China
)
Abstract: In order to process different kinds of observing data with different precisions, a new solution model of nonlinear dynamic integral least squares adjustment was put forward, which is not dependent on their derivatives. The partial derivative of each component in the target function is not computed while iteratively solving the problem. Especially when the nonlinear target function is more complex and very difficult to solve the problem, the method can greatly reduce the computing load.
Key words: solution model; nonlinear integral adjustment; non-derivative solving method
Superintended by The China Association for Science and Technology (CAST)
Sponsored by The Nonferrous Metals Society of China (NFSOC)
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