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Cited by 2,123

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Curves and Surfaces for Computer Aided Geometric Design--A Practical Guide.

Bajaj, Chanderjit, Farin, Gerald·1990·Mathematics of Computation

Abstract

From the Publisher: This book will be of interest to computer graphics enthusiasts, software developers for CAD/CAM systems, geometric modeling researchers, graphics programmers, academicians, and many others throughout the graphics community. Assuming only a background in calculus and basic linear algebra, the author's informal and reader-friendly style makes the material accessible to a wide audience. Finally, the included disk contains data sets and all of the C programs used in the book, making it easier for the user to gain first-hand experience with the concepts as they are explained. This unified treatment of curve and surface design concepts focuses on Bezier and B-spline methods for curves, rational Bezier and B-spline curves, geometric continuity, spline interpolation, and Coons methods. The fourth edition has been thoroughly updated and revised to include a new chapter on recursive subdivision, as well as new sections on triangulations and scattered data interpolants. Finally, the disk in the back of the book has been updated to include all of the programs, as well as the data sets from the text.

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Metadata

Authors
Bajaj, C., & Farin, G.
Venue
Mathematics of Computation
Publisher
JSTOR
Published
1990-10
Volume
55
Issue
192
Pages
874
ISSN
0025-5718 (ISSN-L)
OpenAlex
W2034966370
Cited by
2,123
References
0
FWCI
54.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Curves and Surfaces for Computer Aided Geometric Design--A Practical Guide. https://app.cochat.ai/papers/10.2307/2008458
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Bajaj, C., & Farin, G. (1990). Curves and Surfaces for Computer Aided Geometric Design--A Practical Guide. Mathematics of Computation. https://doi.org/10.2307/2008458

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.