Discrete & Computational Geometry
A convex hull algorithm for discs, and applications
Computational Geometry: Theory and Applications
An optimal algorithm for the intersection radius of a set of convex polygons
Journal of Algorithms
Structural tolerance and delauny triangulation
Information Processing Letters
Tight Error Bounds of Geometric Problems on Convex Objects with Imprecise Coordinates
JCDCG '00 Revised Papers from the Japanese Conference on Discrete and Computational Geometry
Convex Hull Problem with Imprecise Input
JCDCG '98 Revised Papers from the Japanese Conference on Discrete and Computational Geometry
Approximation algorithms for spreading points
Journal of Algorithms
Systems of distant representatives
Discrete Applied Mathematics - Structural decompositions, width parameters, and graph labelings (DAS 5)
Largest and smallest tours and convex hulls for imprecise points
SWAT'06 Proceedings of the 10th Scandinavian conference on Algorithm Theory
Facility location problems with uncertainty on the plane
Discrete Optimization
Triangulating input-constrained planar point sets
Information Processing Letters
Approximation Algorithms for Finding a Minimum Perimeter Polygon Intersecting a Set of Line Segments
WADS '09 Proceedings of the 11th International Symposium on Algorithms and Data Structures
Delaunay triangulation of imprecise points in linear time after preprocessing
Computational Geometry: Theory and Applications
The Directed Hausdorff Distance between Imprecise Point Sets
ISAAC '09 Proceedings of the 20th International Symposium on Algorithms and Computation
Approximating largest convex hulls for imprecise points
WAOA'07 Proceedings of the 5th international conference on Approximation and online algorithms
On some geometric problems of color-spanning sets
Journal of Combinatorial Optimization
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Imprecise points are regions in which one point should be placed. We study computing the largest and smallest possible values of various basic geometric measures on sets of imprecise points, such as the diameter, width, closest pair, smallest enclosing circle, and smallest enclosing bounding box. We give efficient algorithms for most of these problems, and identify the hardness of others.