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Titlebook: Geospatial Algebraic Computations; Theory and Applicati Joseph L. Awange,Béla Paláncz Book 2016Latest edition Springer-Verlag Berlin Heidel

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書(shū)目名稱Geospatial Algebraic Computations
副標(biāo)題Theory and Applicati
編輯Joseph L. Awange,Béla Paláncz
視頻videohttp://file.papertrans.cn/385/384040/384040.mp4
概述All important algorithms algebraic symbolic (resultants, Gr?bner basis) and algebraic numeric (homotopy, Procrustes) are under one roof.The book provides theoretical as well as practical applications
圖書(shū)封面Titlebook: Geospatial Algebraic Computations; Theory and Applicati Joseph L. Awange,Béla Paláncz Book 2016Latest edition Springer-Verlag Berlin Heidel
描述.Improved geospatial instrumentation and technology such as in laser scanning has now resulted in millions of data being collected, e.g., point clouds. It is in realization that such huge amount of data requires efficient and robust mathematical solutions that this third edition of the book extends the second edition by introducing three new chapters: Robust parameter estimation, Multiobjective optimization and Symbolic regression.??Furthermore, the linear homotopy chapter is expanded to include nonlinear homotopy. These disciplines are discussed first in the theoretical part of the book before illustrating their geospatial applications in the applications chapters where numerous numerical examples are presented. The renewed electronic supplement contains these new theoretical and practical topics, with the corresponding Mathematica statements and functions supporting their computations introduced and applied. This third edition is renamed in light of these technological advancements..
出版日期Book 2016Latest edition
關(guān)鍵詞Algebraic symbolic-numeric methods; Geodetic computation; Nonlinear equations; Robust estimation; Symbol
版次3
doihttps://doi.org/10.1007/978-3-319-25465-4
isbn_softcover978-3-319-79794-6
isbn_ebook978-3-319-25465-4
copyrightSpringer-Verlag Berlin Heidelberg 2016
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978-3-319-79794-6Springer-Verlag Berlin Heidelberg 2016
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Solutions of Overdetermined SystemsIn geodesy and geoinformatics, field observations are normally collected with the aim of estimating parameters. Very frequently, one has to handle . of nonlinear equations. In such cases, there exist . than ., therefore “the solution” of the system can be interpreted only in a certain error metric, i.e., . sense.
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Th. Liebisch,A. Sch?nflies,O. Mügge are in need to establish a proper model for the . of the Earth, the Moon, the Sun or planets. By the theory of equilibrium figures, we are informed that an ellipsoid, two-axes or three-axes is an excellent approximation of the .. For planets similar to the Earth the biaxial ellipsoid, also called “.” is the best approximation.
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