Title : 
Randomized geometric algorithms and pseudo-random generators
         
        
        
            Author_Institution : 
Chicago Univ., IL, USA
         
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Foundations of Computer Science, 1992. Proceedings., 33rd Annual Symposium on
         
        
            Conference_Location : 
Pittsburgh, PA
         
        
            Print_ISBN : 
0-8186-2900-2
         
        
        
            DOI : 
10.1109/SFCS.1992.267815