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» Gadgets, Approximation, and Linear Programming
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SIAMCOMP
2000
88views more  SIAMCOMP 2000»
13 years 4 months ago
Gadgets, Approximation, and Linear Programming
We present a linear programming-based method for nding \gadgets", i.e., combinatorial structures reducing constraints of one optimization problem to constraints of another. A...
Luca Trevisan, Gregory B. Sorkin, Madhu Sudan, Dav...
MFCS
2001
Springer
13 years 9 months ago
On the Approximability of the Steiner Tree Problem
We show that it is not possible to approximate the minimum Steiner tree problem within 1 + 1 162 unless RP = NP. The currently best known lower bound is 1 + 1 400. The reduction i...
Martin Thimm
SODA
2012
ACM
185views Algorithms» more  SODA 2012»
11 years 7 months ago
On a linear program for minimum-weight triangulation
ABSTRACT∗ Arman Yousefi† Neal E. Young‡ Minimum-weight triangulation (MWT) is NP-hard. It has a polynomial-time constant-factor approximation algorithm, and a variety of e...
Arman Yousefi, Neal E. Young
FCT
2007
Springer
13 years 10 months ago
Analysis of Approximation Algorithms for k-Set Cover Using Factor-Revealing Linear Programs
We present new combinatorial approximation algorithms for k-set cover. Previous approaches are based on extending the greedy algorithm by efficiently handling small sets. The new a...
Stavros Athanassopoulos, Ioannis Caragiannis, Chri...
UAI
2008
13 years 6 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