DocumentCode :
2225640
Title :
Spectral Graph Theory and its Applications
Author :
Spielman, Daniel A.
Author_Institution :
Yale Univ., New Haven
fYear :
2007
fDate :
21-23 Oct. 2007
Firstpage :
29
Lastpage :
38
Abstract :
Spectral graph theory is the study of the eigenvalues and eigenvectors of matrices associated with graphs. In this tutorial, we will try to provide some intuition as to why these eigenvectors and eigenvalues have combinatorial significance, and will sitn´ey some of their applications.
Keywords :
eigenvalues and eigenfunctions; graph theory; matrix algebra; eigenvalues; eigenvectors; matrix algebra; spectral graph theory; Application software; Books; Combinatorial mathematics; Computer science; Eigenvalues and eigenfunctions; Graph theory; Image segmentation; Laplace equations; Physics education; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Foundations of Computer Science, 2007. FOCS '07. 48th Annual IEEE Symposium on
Conference_Location :
Providence, RI
ISSN :
0272-5428
Print_ISBN :
978-0-7695-3010-9
Type :
conf
DOI :
10.1109/FOCS.2007.56
Filename :
4389477
Link To Document :
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