Nonlinear Computational Geometry [electronic resource] /
University of Minnesota.Institute for Mathematics and Its Applications.
Emiris, Ioannis Z.editor.
Sottile, Frank.editor.
Theobald, Thorsten.editor.
An original motivation for algebraic geometry was to understand curves and surfaces in three dimensions. Recent theoretical and technological advances in areas such as robotics, computer vision, computer-aided geometric design and molecular biology, together with the increased availability of computational resources, have brought these original questions once more into the forefront of research. One particular challenge is to combine applicable methods from algebraic geometry with proven techniques from piecewise-linear computational geometry (such as Voronoi diagrams and hyperplane arrangements) to develop tools for treating curved objects. These research efforts may be summarized under the term nonlinear computational geometry. This volume grew out of an IMA workshop on Nonlinear Computational Geometry in May/June 2007 (organized by I.Z. Emiris, R. Goldman, F. Sottile, T. Theobald) which gathered leading experts in this emerging field. The research and expository articles in the volume are intended to provide an overview of nonlinear computational geometry. Since the topic involves computational geometry, algebraic geometry, and geometric modeling, the volume has contributions from all of these areas. By addressing a broad range of issues from purely theoretical and algorithmic problems, to implementation and practical applications this volume conveys the spirit of the IMA workshop.
This volume grew out of an "IMA Workshop on Nonlinear Computational Geometry" in May 29-June 2, 2007.
Includes bibliographical references and index.
Spectral Techniques to Explore Point Clouds in Euclidean Space, with Applications to Collective Coordinates in Structural Biology -- Rational Parametrizations, Intersection Theory, and Newton Polytopes -- Some Discrete Properties of the Space of Line Transversals to Disjoint Balls -- Algebraic Geometry and Kinematics -- Rational Offset Surfaces and their Modeling Applications -- A List of Challenges for Real Algebraic Plane Curve Visualization Software -- A Subdivision Method for Arrangement Computation of Semi-Algebraic Curves -- Invariant-Based Characterization of the Relative Position of Two Projective Conics -- A Note on Planar Hexagonal Meshes -- List of Workshop Participants.
An original motivation for algebraic geometry was to understand curves and surfaces in three dimensions. Recent theoretical and technological advances in areas such as robotics, computer vision, computer-aided geometric design and molecular biology, together with the increased availability of computational resources, have brought these original questions once more into the forefront of research. One particular challenge is to combine applicable methods from algebraic geometry with proven techniques from piecewise-linear computational geometry (such as Voronoi diagrams and hyperplane arrangements) to develop tools for treating curved objects. These research efforts may be summarized under the term nonlinear computational geometry. This volume grew out of an IMA workshop on Nonlinear Computational Geometry in May/June 2007 (organized by I.Z. Emiris, R. Goldman, F. Sottile, T. Theobald) which gathered leading experts in this emerging field. The research and expository articles in the volume are intended to provide an overview of nonlinear computational geometry. Since the topic involves computational geometry, algebraic geometry, and geometric modeling, the volume has contributions from all of these areas. By addressing a broad range of issues from purely theoretical and algorithmic problems, to implementation and practical applications this volume conveys the spirit of the IMA workshop.
Algebraic geometry.
Computer mathematics.
Geometry.
Algebra.
Algebraic Geometry.
Computational Mathematics and Numerical Analysis.
Geometry.
General Algebraic Systems.
Computational geometry
Nonlinear geometry
The IMA volumes in mathematics and its applications