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» Constraint relaxation in approximate linear programs
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CORR
2010
Springer
159views Education» more  CORR 2010»
13 years 4 months ago
On optimizing over lift-and-project closures
The lift-and-project closure is the relaxation obtained by computing all lift-and-project cuts from the initial formulation of a mixed integer linear program or equivalently by co...
Pierre Bonami
SIAMSC
2010
120views more  SIAMSC 2010»
13 years 5 months ago
Simultaneously Sparse Solutions to Linear Inverse Problems with Multiple System Matrices and a Single Observation Vector
Abstract. A problem that arises in slice-selective magnetic resonance imaging (MRI) radiofrequency (RF) excitation pulse design is abstracted as a novel linear inverse problem with...
Adam C. Zelinski, Vivek K. Goyal, Elfar Adalsteins...
FOCS
2005
IEEE
14 years 1 months ago
Truthful and Near-Optimal Mechanism Design via Linear Programming
We give a general technique to obtain approximation mechanisms that are truthful in expectation. We show that for packing domains, any α-approximation algorithm that also bounds ...
Ron Lavi, Chaitanya Swamy
SAC
2010
ACM
14 years 2 months ago
Variable ranges in linear constraints
We introduce an extension of linear constraints, called linearrange constraints, which allows for (meta-)reasoning about the approximation width of variables. Semantics for linear...
Salvatore Ruggieri, Fred Mesnard
CVPR
2009
IEEE
1696views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Fast Normalized Cut with Linear Constraints
Normalized Cut is a widely used technique for solving a variety of problems. Although finding the optimal normalized cut has proven to be NP-hard, spectral relaxations can be ap...
Linli Xu (University of Alberta), Wenye Li (Univer...