Robust and Error-Free Geometric Computing

Author:   Dave Eberly
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367352943


Pages:   388
Publication Date:   27 May 2020
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Robust and Error-Free Geometric Computing


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Overview

This is a how-to book for solving geometric problems robustly or error free in actual practice. The contents and accompanying source code are based on the feature requests and feedback received from industry professionals and academics who want both the descriptions and source code for implementations of geometric algorithms. The book provides a framework for geometric computing using several arithmetic systems and describes how to select the appropriate system for the problem at hand. 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

Full Product Details

Author:   Dave Eberly
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.694kg
ISBN:  

9780367352943


ISBN 10:   036735294
Pages:   388
Publication Date:   27 May 2020
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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

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Author Information

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.

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