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» Constraint relaxation in approximate linear programs
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JGO
2010
100views more  JGO 2010»
13 years 2 months ago
On convex relaxations of quadrilinear terms
The best known method to find exact or at least -approximate solutions to polynomial programming problems is the spatial Branch-and-Bound algorithm, which rests on computing lower...
Sonia Cafieri, Jon Lee, Leo Liberti
ICCD
2004
IEEE
122views Hardware» more  ICCD 2004»
14 years 4 months ago
Linear Programming based Techniques for Synthesis of Network-on-Chip Architectures
Network-on-chip (NoC) has been proposed as a solution for the communication challenges of System-on-chip (SoC) design in the nanoscale regime. SoC design offers the opportunity fo...
Krishnan Srinivasan, Karam S. Chatha, Goran Konjev...
NIPS
2007
13 years 8 months ago
An Analysis of Convex Relaxations for MAP Estimation
The problem of obtaining the maximum a posteriori estimate of a general discrete random field (i.e. a random field defined using a finite and discrete set of labels) is known ...
Pawan Mudigonda, Vladimir Kolmogorov, Philip H. S....
NIPS
2008
13 years 8 months ago
Clusters and Coarse Partitions in LP Relaxations
We propose a new class of consistency constraints for Linear Programming (LP) relaxations for finding the most probable (MAP) configuration in graphical models. Usual cluster-base...
David Sontag, Amir Globerson, Tommi Jaakkola
FOCS
2006
IEEE
14 years 1 months ago
Improved approximation algorithms for multidimensional bin packing problems
In this paper we introduce a new general framework for set covering problems, based on the combination of randomized rounding of the (near-)optimal solution of the Linear Programm...
Nikhil Bansal, Alberto Caprara, Maxim Sviridenko