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Synopsis
This comprehensive compendium describes a parametric model and algorithmic theory to represent geometric entities with dependent uncertainties between them. The theory, named Linear Parametric Geometric Uncertainty Model (LPGUM), is an expressive and computationally efficient framework that allows to systematically study geometric uncertainty and its related algorithms in computer geometry. The self-contained monograph is of great scientific, technical, and economic importance as geometric uncertainty is ubiquitous in mechanical CAD/CAM, robotics, computer vision, wireless networks and many other fields. Geometric models, in contrast, are usually exact and do not account for these inaccuracies. This useful reference text benefits academics, researchers, and practitioners in computer science, robotics, mechanical engineering and related fields.
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Computational Geometry With Independent And Dependent Uncertainties
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Computational Geometry With Independent And Dependent Uncertainties
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Computational Geometry With Independent And Dependent Uncertainties
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COMPUTATIONAL GEOMETRY WITH INDEPENDENT
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Computational Geometry With Independent And Dependent Uncertainties
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Computational Geometry With Independent and Dependent Uncertainties
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Computational Geometry With Independent And Dependent Uncertainties
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World Scientific Publishing Co Pte Ltd, 2022
ISBN 10: 9811253838
ISBN 13: 9789811253836
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Computational Geometry With Independent And Dependent Uncertainties
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Computational Geometry With Independent And Dependent Uncertainties
Published by
World Scientific Publishing Co Pte Ltd, 2022
ISBN 10: 9811253838
ISBN 13: 9789811253836
New
Hardcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # GB-9789811253836
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Computational Geometry With Independent and Dependent Uncertainties
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