Da: Basi6 International, Irving, TX, U.S.A.
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Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
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Da: ALLBOOKS1, Direk, SA, Australia
EUR 67,66
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: Majestic Books, Hounslow, Regno Unito
EUR 65,30
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 67,15
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Da: California Books, Miami, FL, U.S.A.
EUR 82,49
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 82,05
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 86,54
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Lingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, SG, 2022
ISBN 10: 9811253838 ISBN 13: 9789811253836
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condizione: 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.
Lingua: Inglese
Editore: World Scientific Pub Co Inc, 2022
ISBN 10: 9811253838 ISBN 13: 9789811253836
Da: Revaluation Books, Exeter, Regno Unito
EUR 96,84
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Aggiungi al carrelloHardcover. Condizione: Brand New. 140 pages. 9.25x6.25x0.75 inches. In Stock.
Lingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, SG, 2022
ISBN 10: 9811253838 ISBN 13: 9789811253836
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 114,96
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Aggiungi al carrelloHardback. Condizione: 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.
Lingua: Inglese
Editore: World Scientific Pub Co Inc, 2022
ISBN 10: 9811253838 ISBN 13: 9789811253836
Da: Revaluation Books, Exeter, Regno Unito
EUR 108,04
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 140 pages. 9.25x6.25x0.75 inches. In Stock.
EUR 89,64
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Aggiungi al carrelloGebunden. Condizione: 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), .
Lingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, SG, 2022
ISBN 10: 9811253838 ISBN 13: 9789811253836
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
Hardback. Condizione: 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.
Lingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, SG, 2022
ISBN 10: 9811253838 ISBN 13: 9789811253836
Da: Rarewaves.com UK, London, Regno Unito
EUR 108,64
Quantità: 2 disponibili
Aggiungi al carrelloHardback. Condizione: 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.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 90,65
Quantità: 3 disponibili
Aggiungi al carrelloBuch. Condizione: 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.