DocumentCode :
2226547
Title :
Maximizing Non-Monotone Submodular Functions
Author :
Feige, Uriel ; Mirrokni, Vahab S. ; Vondrák, Jan
Author_Institution :
Wetzmann Inst., Rehovot
fYear :
2007
fDate :
21-23 Oct. 2007
Firstpage :
461
Lastpage :
471
Abstract :
Submodular maximization generalizes many important problems including Max Cut in directed/undirected graphs and hypergraphs, certain constraint satisfaction problems and maximum facility location problems. Unlike the problem of minimizing submodular functions, the problem of maximizing submodular functions is NP-hard.
Keywords :
computational complexity; directed graphs; function approximation; optimisation; search problems; NP-hard problem; computational complexity; constraint satisfaction problem; maximum facility location problem; nonmonotone submodular function; submodular maximization; undirected graph; Algorithm design and analysis; Approximation algorithms; Computer science; Greedy algorithms; Mathematics; Polynomials;
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.2007.29
Filename :
4389516
Link To Document :
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