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Solution model of nonlinear integral adjustment including different kinds of observing data with different precisions
作者姓名:郭金运  陶华学
作者单位:Institute of Geo information Science and Technology,Institute of Geo information Science and Technology Shandong University of Science and Technology,Tai′an 271019,China,Shandong University of Science and Technology,Tai′an 271019,China
基金项目:Project(4 0 1740 0 3 )supportedbytheNationalNaturalScienceFoundationofChina,project(0 2 0913)supportedbyOpenResearchFundProgramoftheKeyLaboratoryofGeospaceEnvironmentandGeodesy,MinistryofEducation,China
摘    要:1 INTRODUCTIONInthedataprocessoftheconstructionofdigitalcityanddigitalnationandthemoderndeformationmonitoring ,manykindsofmeasurementswithdifferentprecisionscontaininggeometricandphysicaldataarecaptured .Thedistribu tiontypesofthesedatacanbedividedintothenormaldistribution ,theLaplace’sdistribution ,thenormalmixeddistribu tionandsoon .Meantimetherelationsbetweentheseobservingdataandtheunknownparametersarenonlinearinmostofthecases .Sofardifferentkindsofobservingdatawithdifferentprecision…


Solution model of nonlinear integral adjustment including different kinds of observing data with different precisions
GUO Jin yun,TAO Hua xue.Solution model of nonlinear integral adjustment including different kinds of observing data with different precisions[J].Transactions of Nonferrous Metals Society of China,2003,13(3).
Authors:GUO Jin yun  TAO Hua xue
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.
Keywords:solution model  nonlinear integral adjustment  non derivative solving method
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