DocumentCode :
2186379
Title :
Eigenvalues and graph bisection: An average-case analysis
Author :
Boppana, Ravi B.
fYear :
1987
fDate :
12-14 Oct. 1987
Firstpage :
280
Lastpage :
285
Abstract :
Graph Bisection is the problem of partitioning the vertices of a graph into two equal-size pieces so as to minimize the number of edges between the two pieces. This paper presents an algorithm that will, for almost all graphs in a certain class, output the minimum-size bisection. Furthermore the algorithm will yield, for almost all such graphs, a proof that the bisection is optimal. The algorithm is based on computing eigenvalues and eigenvectors of matrices associated with the graph.
Keywords :
Algorithm design and analysis; Computer science; Eigenvalues and eigenfunctions; H infinity control; Heuristic algorithms; Mathematics; Partitioning algorithms; Polynomials; Probability distribution; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Foundations of Computer Science, 1987., 28th Annual Symposium on
Conference_Location :
Los Angeles, CA, USA
ISSN :
0272-5428
Print_ISBN :
0-8186-0807-2
Type :
conf
DOI :
10.1109/SFCS.1987.22
Filename :
4568281
Link To Document :
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