Data structures and algorithms 3: multi-dimensional searching and computational geometry
Data structures and algorithms 3: multi-dimensional searching and computational geometry
On the maximal number of edges of many faces in an arrangement
Journal of Combinatorial Theory Series A
Algorithms in combinatorial geometry
Algorithms in combinatorial geometry
Combinatorial complexity bounds for arrangements of curves and spheres
Discrete & Computational Geometry - Special issue on the complexity of arrangements
The complexity and construction of many faces in arrangements of lines and of segments
Discrete & Computational Geometry - Special issue on the complexity of arrangements
Applications of random sampling in computational geometry, II
Discrete & Computational Geometry - Selected papers from the fourth ACM symposium on computational geometry, Univ. of Illinois, Urbana-Champaign, June 6 8, 1988
Partitioning arrangements of lines, part II: applications
Discrete & Computational Geometry
A fast planar partition algorithm, I
Journal of Symbolic Computation
A fast planar partition algorithm, II
Journal of the ACM (JACM)
Ray shooting in polygons using Geodesic triangulations
Proceedings of the 18th international colloquium on Automata, languages and programming
Computing a face in an arrangement of line segments and related problems
SIAM Journal on Computing
On lazy randomized incremental construction
STOC '94 Proceedings of the twenty-sixth annual ACM symposium on Theory of computing
A pedestrian approach to ray shooting: shoot a ray, take a walk
SODA '93 Proceedings of the fourth annual ACM-SIAM Symposium on Discrete algorithms
Computing faces in segment and simplex arrangements
STOC '95 Proceedings of the twenty-seventh annual ACM symposium on Theory of computing
Constructing cuttings in theory and practice
Proceedings of the fourteenth annual symposium on Computational geometry
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We present randomized algorithms for computing many faces in an arrangement of lines or of segments in the plane, which are considerably simpler and slightly faster than the previously known ones. The main new idea is a simple randomized O(nlogn) expected time algorithm for computing n cells in an arrangement of n lines.