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Computational Methods for Algebraic Spline Surfaces : ESF Exploratory Workshop

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Cover of 'Computational Methods for Algebraic Spline Surfaces : ESF Exploratory Workshop'

Table of Contents

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    Book Overview
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    Chapter 1 Approximate Parametrisation of Confidence Sets
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    Chapter 2 Challenges in Surface-Surface Intersections
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    Chapter 3 Computing the Topology of Three-Dimensional Algebraic Curves
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    Chapter 4 Distance Properties of ∈-Points on Algebraic Curves
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    Chapter 5 Distance Separation Measures Between Parametric Curves and Surfaces Toward Intersection and Collision Detection Applications
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    Chapter 6 Elementary Theory of Del Pezzo Surfaces
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    Chapter 7 The Geometry of the Tangent Developable
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    Chapter 8 Computational Methods for Algebraic Spline Surfaces
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    Chapter 9 Polynomial C 2 Spline Surfaces Guided by Rational Multisided Patches
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    Chapter 10 A Recursive Taylor Method for Algebraic Curves and Surfaces
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    Chapter 11 Self-Intersection Problems and Approximate Implicitization
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    Chapter 12 Singularities of Some Projective Rational Surfaces
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    Chapter 13 On the Shape Effect of a Control Point: Experimenting with NURBS Surfaces
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    Chapter 14 Third Order Invariants of Surfaces
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    Chapter 15 Universal Rational Parametrizations and Spline Curves on Toric Surfaces
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    Chapter 16 Panel Discussion
Attention for Chapter 14: Third Order Invariants of Surfaces
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Citations

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Chapter title
Third Order Invariants of Surfaces
Chapter number 14
Book title
Computational Methods for Algebraic Spline Surfaces
Published by
Springer, Berlin, Heidelberg, January 2005
DOI 10.1007/3-540-27157-0_14
Book ISBNs
978-3-54-023274-2, 978-3-54-027157-4
Authors

Jens Gravesen

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Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 100%
Readers by discipline Count As %
Computer Science 2 100%

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