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» Introduction to Randomized Algorithms
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SPAA
1997
ACM
15 years 9 months ago
Pipelining with Futures
Pipelining has been used in the design of many PRAM algorithms to reduce their asymptotic running time. Paul, Vishkin, and Wagener (PVW) used the approach in a parallel implementat...
Guy E. Blelloch, Margaret Reid-Miller
PODC
2010
ACM
15 years 8 months ago
Deterministic distributed vertex coloring in polylogarithmic time
Consider an n-vertex graph G = (V, E) of maximum degree ∆, and suppose that each vertex v ∈ V hosts a processor. The processors are allowed to communicate only with their neig...
Leonid Barenboim, Michael Elkin
SODA
1997
ACM
115views Algorithms» more  SODA 1997»
15 years 6 months ago
On-Line Difference Maximization
In this paper we examine problems motivated by on-line financial problems and stochastic games. In particular, we consider a sequence of entirely arbitrary distinct values arrivin...
Ming-Yang Kao, Stephen R. Tate
FOCS
2008
IEEE
15 years 5 months ago
Set Covering with our Eyes Closed
Given a universe U of n elements and a weighted collection S of m subsets of U, the universal set cover problem is to a-priori map each element u ∈ U to a set S(u) ∈ S contain...
Fabrizio Grandoni, Anupam Gupta, Stefano Leonardi,...
CORR
2007
Springer
105views Education» more  CORR 2007»
15 years 4 months ago
Relative-Error CUR Matrix Decompositions
Many data analysis applications deal with large matrices and involve approximating the matrix using a small number of “components.” Typically, these components are linear combi...
Petros Drineas, Michael W. Mahoney, S. Muthukrishn...