Pyramid Algorithms : A Dynamic Programming Approach to Curves and Surfaces for Geometric Modeling

Goldman, Ron

ISBN 10: 1558603549 / ISBN 13: 9781558603547

Edité par Elsevier Science & Technology, 2002

A propos de cet article

Used book that is in excellent condition. May show signs of wear or have minor defects.

N° de réf. du vendeur GRP82458062

Détails bibliographiques

• Titre: Pyramid Algorithms : A Dynamic Programming Approach to Curves and Surfaces for Geometric Modeling
• Éditeur: Elsevier Science & Technology
• Date de parution: 2002
• Langue: anglais
• ISBN à 10 chiffres: 1558603549
• ISBN à 13 chiffres: 9781558603547
• Reliure: Couverture rigide
• Édition: 1st Edition.
• État de l'article: Very Good

A propos de ce titre

Synopsis

Pyramid Algorithms presents a unique approach to understanding, analyzing, and computing the most common polynomial and spline curve and surface schemes used in computer-aided geometric design, employing a dynamic programming method based on recursive pyramids.The recursive pyramid approach offers the distinct advantage of revealing the entire structure of algorithms, as well as relationships between them, at a glance. This book-the only one built around this approach-is certain to change the way you think about CAGD and the way you perform it, and all it requires is a basic background in calculus and linear algebra, and simple programming skills.

À propos de l?auteur

Ron Goldman is a researcher at Sun Microsystems Laboratories in California working on alternative software development methodologies and new software architectures inspired by biology. He has been working with open source since hacking on GDB at Lucid, Inc. back in 1992. Since 1998 he has been helping groups at Sun Microsystems understand open source and advising them on how to build successful communities around their open source projects. Prior to Sun he developed a program to generate and manipulate visual representations of complex data for use by social scientists as part of a collaboration between NYNEX Science & Technology and the Institute for Research on Learning. He has worked on programming language design, programming environments, user interface design, and data visualization. He has a PhD in computer science from Stanford University where he was a member of the robotics group.