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

Author:   Ron Goldman (Sun Microsystems, Inc., Santa Clara, California, U.S.A.) ,  Helmut Pottmann (Professor, Vienna University of Technology, Austria)
Publisher:   Elsevier Science & Technology
ISBN:  

9781558603547


Pages:   576
Publication Date:   16 July 2002
Format:   Hardback
Availability:   Awaiting stock   Availability explained
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Pyramid Algorithms: A Dynamic Programming Approach to Curves and Surfaces for Geometric Modeling


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Overview

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.

Full Product Details

Author:   Ron Goldman (Sun Microsystems, Inc., Santa Clara, California, U.S.A.) ,  Helmut Pottmann (Professor, Vienna University of Technology, Austria)
Publisher:   Elsevier Science & Technology
Imprint:   Morgan Kaufmann Publishers In
Dimensions:   Width: 18.70cm , Height: 3.20cm , Length: 23.50cm
Weight:   1.170kg
ISBN:  

9781558603547


ISBN 10:   1558603549
Pages:   576
Publication Date:   16 July 2002
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

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Reviews

Ron Goldman is a leading expert who knows the fundamental concepts and their interconnectedness, as well as the small details. The elegance of the writing and of the methods used to present the material allows us to get a deep understanding of the central concepts of CAGD. In its simplicity and pure beauty, the theory indeed resembles the pyramids. -Helmut Pottman, Vienna University of Technology A textbook approach to understanding, analyzing and computing common polynomial and spline curves, and surfaces schemes in computer-aided geometric modeling and design. Goldman employs a dynamic programming method based on recursive pyramids for revealing the structure and relationship of algorithms. - Design Issues


Ron Goldman is a leading expert who knows the fundamental concepts and their interconnectedness, as well as the small details. The elegance of the writing and of the methods used to present the material allows us to get a deep understanding of the central concepts of CAGD. In its simplicity and pure beauty, the theory indeed resembles the pyramids. -Helmut Pottman, Vienna University of Technology A textbook approach to understanding, analyzing and computing common polynomial and spline curves, and surfaces schemes in computer-aided geometric modeling and design. Goldman employs a dynamic programming method based on recursive pyramids for revealing the structure and relationship of algorithms. - Design Issues


Author Information

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.

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