Uncertainty in Geometric Computations (The Springer International Series in Engineering and Computer Science, Band 704) - Softcover

Softcover

ISBN 10: 1461352525 ISBN 13: 9781461352525

Verlag: Springer, 2012

Inhaltsangabe

This book contains the proceedings of the workshop Uncertainty in Geomet­ ric Computations that was held in Sheffield, England, July 5-6, 2001. A total of 59 delegates from 5 countries in Europe, North America and Asia attended the workshop. The workshop provided a forum for the discussion of com­ putational methods for quantifying, representing and assessing the effects of uncertainty in geometric computations. It was organised around lectures by invited speakers, and presentations in poster form from participants. Computer simulations and modelling are used frequently in science and engi­ neering, in applications ranging from the understanding of natural and artificial phenomena, to the design, test and manufacturing stages of production. This widespread use necessarily implies that detailed knowledge of the limitations of computer simulations is required. In particular, the usefulness of a computer simulation is directly dependent on the user's knowledge of the uncertainty in the simulation. Although an understanding of the phenomena being modelled is an important requirement of a good computer simulation, the model will be plagued by deficiencies if the errors and uncertainties in it are not consid­ ered when the results are analysed. The applications of computer modelling are large and diverse, but the workshop focussed on the management of un­ certainty in three areas : Geometric modelling, computer vision, and computer graphics.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2012
• Sprache: Englisch
• ISBN 10: 1461352525
• ISBN 13: 9781461352525
• Einband: Taschenbuch
• Anzahl der Seiten: 232
• Herausgeber: Winkler Joab, Niranjan Mahesan
• Kontakt zum Hersteller: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Deutschland