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» Constraint relaxation in approximate linear programs
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CORR
2010
Springer
159views Education» more  CORR 2010»
14 years 10 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
102
Voted
SIAMSC
2010
120views more  SIAMSC 2010»
14 years 11 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
15 years 6 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
106
Voted
SAC
2010
ACM
15 years 7 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
98
Voted
CVPR
2009
IEEE
1696views Computer Vision» more  CVPR 2009»
16 years 7 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...