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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by World Scientific Pub Co Inc, 2022
ISBN 10: 9811253838 ISBN 13: 9789811253836
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Add to basketHardcover. Condition: Brand New. 140 pages. 9.25x6.25x0.75 inches. In Stock.
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Published by World Scientific Publishing Co Pte Ltd, SG, 2022
ISBN 10: 9811253838 ISBN 13: 9789811253836
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condition: New. 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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Language: English
Published by World Scientific Publishing Co Pte Ltd, SG, 2022
ISBN 10: 9811253838 ISBN 13: 9789811253836
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: New. 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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Language: English
Published by World Scientific Pub Co Inc, 2022
ISBN 10: 9811253838 ISBN 13: 9789811253836
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Add to basketHardcover. Condition: Brand New. 140 pages. 9.25x6.25x0.75 inches. In Stock.
Gebunden. Condition: New. KlappentextrnrnThis 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), .
Language: English
Published by World Scientific Publishing Co Pte Ltd, SG, 2022
ISBN 10: 9811253838 ISBN 13: 9789811253836
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
Hardback. Condition: New. 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.
Language: English
Published by World Scientific Publishing Co Pte Ltd, SG, 2022
ISBN 10: 9811253838 ISBN 13: 9789811253836
Seller: Rarewaves.com UK, London, United Kingdom
US$ 113.21
Quantity: 2 available
Add to basketHardback. Condition: New. 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.