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
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