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» Approximation Algorithms for Clustering Problems
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SODA
2012
ACM
217views Algorithms» more  SODA 2012»
13 years 7 months ago
Deterministic construction of an approximate M-ellipsoid and its applications to derandomizing lattice algorithms
We give a deterministic O(log n)n -time and space algorithm for the Shortest Vector Problem (SVP) of a lattice under any norm, improving on the previous best deterministic nO(n) -...
Daniel Dadush, Santosh Vempala
GECCO
2003
Springer
415views Optimization» more  GECCO 2003»
15 years 10 months ago
Evolutionary Algorithms for Two Problems from the Calculus of Variations
Abstract. A brachistochrone is the path along which a weighted particle falls most quickly from one point to another, and a catenary is the smooth curve connecting two points whose...
Bryant A. Julstrom
PODS
2008
ACM
221views Database» more  PODS 2008»
16 years 5 months ago
A generic flow algorithm for shared filter ordering problems
We consider a fundamental flow maximization problem that arises during the evaluation of multiple overlapping queries defined on a data stream, in a heterogenous parallel environm...
Zhen Liu, Srinivasan Parthasarathy 0002, Anand Ran...
134
Voted
EOR
2010
99views more  EOR 2010»
15 years 5 months ago
Min sum clustering with penalties
Traditionally, clustering problems are investigated under the assumption that all objects must be clustered. A shortcoming of this formulation is that a few distant objects, calle...
Refael Hassin, Einat Or
137
Voted
EUROPAR
2010
Springer
15 years 5 months ago
A Fast 5/2-Approximation Algorithm for Hierarchical Scheduling
We present in this article a new approximation algorithm for scheduling a set of n independent rigid (meaning requiring a fixed number of processors) jobs on hierarchical parallel ...
Marin Bougeret, Pierre-François Dutot, Klau...