Computational Geometry With Independent And Dependent Uncertainties - Rilegato

Gitik, Rivka; Joskowicz, Leo

Rilegato

ISBN 10: 9811253838 ISBN 13: 9789811253836

Casa editrice: WSPC, 2022

Riassunto

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.

Dettagli dell'edizione

• Editore: WSPC
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 9811253838
• ISBN 13: 9789811253836
• Rilegatura: Copertina rigida
• Numero di pagine: 160
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile