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STOC
2003
ACM
141views Algorithms» more  STOC 2003»
15 years 10 months ago
Better streaming algorithms for clustering problems
We study clustering problems in the streaming model, where the goal is to cluster a set of points by making one pass (or a few passes) over the data using a small amount of storag...
Moses Charikar, Liadan O'Callaghan, Rina Panigrahy
SODA
2010
ACM
175views Algorithms» more  SODA 2010»
15 years 7 months ago
Fast SDP Algorithms for Constraint Satisfaction Problems
The class of constraint satisfactions problems (CSPs) captures many fundamental combinatorial optimization problems such as Max Cut, Max q-Cut, Unique Games, and Max k-Sat. Recent...
David Steurer
MP
1998
73views more  MP 1998»
14 years 9 months ago
On proving existence of feasible points in equality constrained optimization problems
Various algorithms can compute approximate feasible points or approximate solutions to equality and bound constrained optimization problems. In exhaustive search algorithms for gl...
R. Baker Kearfott
IJCAI
2001
14 years 11 months ago
Backbones in Optimization and Approximation
We study the impact of backbones in optimization and approximation problems. We show that some optimization problems like graph coloring resemble decision problems, with problem h...
John K. Slaney, Toby Walsh
SIAMCO
2008
70views more  SIAMCO 2008»
14 years 10 months ago
Duality in Linear Programming Problems Related to Deterministic Long Run Average Problems of Optimal Control
It has been established recently that, under mild conditions, deterministic long run average problems of optimal control are "asymptotically equivalent" to infinite-dimen...
Luke Finlay, Vladimir Gaitsgory, Ivan Lebedev