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» Minimization of an M-convex Function
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WEA
2005
Springer
138views Algorithms» more  WEA 2005»
14 years 1 months ago
A Practical Minimal Perfect Hashing Method
We propose a novel algorithm based on random graphs to construct minimal perfect hash functions h. For a set of n keys, our algorithm outputs h in expected time O(n). The evaluatio...
Fabiano C. Botelho, Yoshiharu Kohayakawa, Nivio Zi...
WWW
2007
ACM
14 years 8 months ago
GigaHash: scalable minimal perfect hashing for billions of urls
A minimal perfect function maps a static set of keys on to the range of integers {0,1,2, ... , - 1}. We present a scalable high performance algorithm based on random graphs for ...
Kumar Chellapilla, Anton Mityagin, Denis Xavier Ch...
PVLDB
2010
91views more  PVLDB 2010»
13 years 6 months ago
Regret-Minimizing Representative Databases
We propose the k-representative regret minimization query (k-regret) as an operation to support multi-criteria decision making. Like top-k, the k-regret query assumes that users h...
Danupon Nanongkai, Atish Das Sarma, Ashwin Lall, R...
ICALP
2009
Springer
14 years 8 months ago
Correlation Clustering Revisited: The "True" Cost of Error Minimization Problems
Correlation Clustering was defined by Bansal, Blum, and Chawla as the problem of clustering a set of elements based on a possibly inconsistent binary similarity function between e...
Nir Ailon, Edo Liberty
ICCAD
1999
IEEE
119views Hardware» more  ICCAD 1999»
14 years 6 days ago
Factoring logic functions using graph partitioning
Algorithmic logic synthesis is usually carried out in two stages, the independent stage where logic minimization is performed on the Boolean equations with no regard to physical p...
Martin Charles Golumbic, Aviad Mintz