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» Constraint relaxation in approximate linear programs
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SODA
2010
ACM
175views Algorithms» more  SODA 2010»
14 years 4 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
INFOCOM
2006
IEEE
14 years 1 months ago
Trade-Off Curves for QoS Routing
— Trade-off curves for the exact and the relaxed QoS routing problem are presented and discussed. In addition, an efficient parametric linear programming algorithm to compute th...
Piet Van Mieghem, Lieven Vandenberghe
UAI
2008
13 years 8 months ago
Partitioned Linear Programming Approximations for MDPs
Approximate linear programming (ALP) is an efficient approach to solving large factored Markov decision processes (MDPs). The main idea of the method is to approximate the optimal...
Branislav Kveton, Milos Hauskrecht
SODA
2001
ACM
188views Algorithms» more  SODA 2001»
13 years 8 months ago
Approximation algorithms for the 0-extension problem
In the 0-extension problem, we are given a weighted graph with some nodes marked as terminals and a semimetric on the set of terminals. Our goal is to assign the rest of the nodes ...
Gruia Calinescu, Howard J. Karloff, Yuval Rabani
ESA
2000
Springer
112views Algorithms» more  ESA 2000»
13 years 11 months ago
Resource Constrained Shortest Paths
The resource constrained shortest path problem (CSP) asks for the computation of a least cost path obeying a set of resource constraints. The problem is NP-complete. We give theore...
Kurt Mehlhorn, Mark Ziegelmann