DocumentCode :
1567110
Title :
Randomized geometric algorithms and pseudo-random generators
Author :
Mulmuley, Ketan
Author_Institution :
Chicago Univ., IL, USA
fYear :
1992
Firstpage :
90
Lastpage :
100
Abstract :
The so called randomized incremental algorithms in computational geometry can be thought of as a generalization of Quicksort to higher dimensional geometric problems. They all construct the geometric complex in the given problem, such as a Voronoi diagram or a convex polytope, by adding the objects in the input set, one at a time, in a random order. The author shows that the expected running times of most of the randomized incremental algorithms in computational geometry do not change (up to a constant factor), when the sequence of additions is not truly random but is instead generated using only O(log n ) random bits. The pseudo-random generator used is a generalization of the well known linear congruential generator
Keywords :
computational geometry; random number generation; Quicksort; Voronoi diagram; computational geometry; convex polytope; expected running times; pseudo-random generators; randomized incremental algorithms; Computational geometry; History; Iterative algorithms; Linear programming; Partitioning algorithms; Polynomials; Random number generation; Random variables; Veins;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Foundations of Computer Science, 1992. Proceedings., 33rd Annual Symposium on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
0-8186-2900-2
Type :
conf
DOI :
10.1109/SFCS.1992.267815
Filename :
267815
Link To Document :
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