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Computational geometry : with independent and dependent uncertainties / Rivka Gitik and Leo Joskowicz

By: Contributor(s): Material type: TextTextPublication details: India World Scientific 2023Description: 145pISBN:
  • 9789811253836
Subject(s): DDC classification:
  • 516.00285 GIT-R
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Item type Current library Collection Shelving location Call number Copy number Status Notes Date due Barcode Item holds
New books on display New books on display BITS Pilani Hyderabad 510 New Book Display (Welcome to Reserve) 516.00285 GIT-R (Browse shelf(Opens below)) USD 78.00 Available Display - 09 49947
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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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