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£ 47.44
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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 and Dependent Uncertainties
Published by World Scientific Publishing Co Pte Ltd, 2022
ISBN 10: 9811253838 ISBN 13: 9789811253836
Language: English
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Computational Geometry With Independent And Dependent Uncertainties
Published by World Scientific Publishing Co Pte Ltd, SG, 2022
ISBN 10: 9811253838 ISBN 13: 9789811253836
Language: English
£ 94.31
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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.
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Computational Geometry With Independent And Dependent Uncertainties
Published by World Scientific Publishing Co Pte Ltd, SG, 2022
ISBN 10: 9811253838 ISBN 13: 9789811253836
Language: English
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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Computational Geometry With Independent and Dependent Uncertainties
Published by World Scientific Pub Co Inc, 2022
ISBN 10: 9811253838 ISBN 13: 9789811253836
Language: English
Hardcover. Condition: Brand New. 140 pages. 9.25x6.25x0.75 inches. In Stock.
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Add to basketGebunden. 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), .
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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
Language: English
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Computational Geometry With Independent And Dependent Uncertainties
Published by World Scientific Publishing Co Pte Ltd, SG, 2022
ISBN 10: 9811253838 ISBN 13: 9789811253836
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 4 out of 5 stars
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.
-
Computational Geometry With Independent And Dependent Uncertainties
Published by World Scientific Publishing Co Pte Ltd, SG, 2022
ISBN 10: 9811253838 ISBN 13: 9789811253836
Language: English
£ 95.73
Convert currency£ 85.64 shipping from U.S.A. to United KingdomQuantity: 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.
-
Computational Geometry With Independent and Dependent Uncertainties
Published by World Scientific Pub Co Inc, 2022
ISBN 10: 9811253838 ISBN 13: 9789811253836
Language: English
Hardcover. Condition: Brand New. 140 pages. 9.25x6.25x0.75 inches. In Stock. This item is printed on demand.
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£ 81.12
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
