Robust and Error-Free Geometric Computing
Autor Dave Eberlyen Limba Engleză Paperback – 13 dec 2021
Key Features:
- A framework of arithmetic systems that can be applied to many geometric algorithms to obtain robust or error-free implementations
- Detailed derivations for algorithms that lead to implementable code
- Teaching the readers how to use the book concepts in deriving algorithms in their fields of application
- The Geometric Tools Library, a repository of well-tested code at the Geometric Tools website, https://www.geometrictools.com, that implements the book concepts
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Specificații
ISBN-13: 9781032242187
ISBN-10: 1032242183
Pagini: 286
Ilustrații: 61 Illustrations, black and white
Dimensiuni: 156 x 234 x 22 mm
Greutate: 0.58 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
ISBN-10: 1032242183
Pagini: 286
Ilustrații: 61 Illustrations, black and white
Dimensiuni: 156 x 234 x 22 mm
Greutate: 0.58 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Cuprins
1.Introduction. 2. Arbitrary Precision Arithmetic. 3. Interval Arithmetic. 4. Computational Geometry Algorithms. 5. Distance Queried. 6. Intersection Queries. 7. Mixed-Mode Computing. 8. Robust Floating-Point Computing. 9. Implementation of Arithmetic
Notă biografică
Dave Eberly is the Chief Technologist for Geometric Tools, a company that provides contracting and consulting services for software development in computational mathematics in the fields of geometry, graphics, and physics. Previously, he worked at Microsoft on various projects including multisensor cameras for volumetric video, Microsoft Surface Hub, Microsoft HoloLens, and the machine-learning-based Custom Vision Service associated with the Artificial Intelligence and Research Initiative. He also worked at Omnivor Inc., a start-up company that develops algorithms and software for volumetric video.
Descriere
This is a how-to book for solving problems in actual practice. The contents and accompanying source code are based on the feature requests and feedback received from industry and academics who want both the descriptions and source code for hard-to-find implementations of geometric algorithms.