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» Introduction to Randomized Algorithms
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CORR
2008
Springer
77views Education» more  CORR 2008»
15 years 6 months ago
Optimal hash functions for approximate closest pairs on the n-cube
One way to find closest pairs in large datasets is to use hash functions [6], [12]. In recent years locality-sensitive hash functions for various metrics have been given: projecti...
Daniel M. Gordon, Victor Miller, Peter Ostapenko
CORR
2006
Springer
127views Education» more  CORR 2006»
15 years 6 months ago
A Semidefinite Relaxation for Air Traffic Flow Scheduling
We first formulate the problem of optimally scheduling air traffic low with sector capacity constraints as a mixed integer linear program. We then use semidefinite relaxation tech...
Alexandre d'Aspremont, Laurent El Ghaoui
CORR
2006
Springer
111views Education» more  CORR 2006»
15 years 6 months ago
Length-based cryptanalysis: The case of Thompson's Group
The length-based approach is a heuristic for solving randomly generated equations in groups which possess a reasonably behaved length function. We describe several improvements of ...
Dima Ruinskiy, Adi Shamir, Boaz Tsaban
ALGORITHMICA
2005
108views more  ALGORITHMICA 2005»
15 years 6 months ago
Key-Independent Optimality
A new form of optimality for comparison based static dictionaries is introduced. This type of optimality, keyindependent optimality, is motivated by applications that assign key v...
John Iacono
IPL
2007
94views more  IPL 2007»
15 years 6 months ago
The finite horizon investor problem with a budget constraint
We study a model that incorporates a budget constraint in a decision making problem. Our goal is to maximize the expected wealth, where in each time period we can either stop the ...
Asaf Levin