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» Solving Sparse Linear Constraints
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TIT
2011
116views more  TIT 2011»
14 years 7 months ago
Convex Programming Upper Bounds on the Capacity of 2-D Constraints
—The capacity of 1-D constraints is given by the entropy of a corresponding stationary maxentropic Markov chain. Namely, the entropy is maximized over a set of probability distri...
Ido Tal, Ron M. Roth
108
Voted
CORR
2008
Springer
129views Education» more  CORR 2008»
15 years 17 days ago
Polynomial Linear Programming with Gaussian Belief Propagation
Abstract--Interior-point methods are state-of-the-art algorithms for solving linear programming (LP) problems with polynomial complexity. Specifically, the Karmarkar algorithm typi...
Danny Bickson, Yoav Tock, Ori Shental, Danny Dolev
95
Voted
ICML
2009
IEEE
16 years 1 months ago
Efficient Euclidean projections in linear time
We consider the problem of computing the Euclidean projection of a vector of length n onto a closed convex set including the 1 ball and the specialized polyhedra employed in (Shal...
Jun Liu, Jieping Ye
104
Voted
ICRA
2009
IEEE
103views Robotics» more  ICRA 2009»
14 years 10 months ago
Prioritizing linear equality and inequality systems: Application to local motion planning for redundant robots
We present a novel method for prioritizing both linear equality and inequality systems and provide one algorithm for its resolution. This algorithm can be summarized as a sequence ...
Oussama Kanoun, Florent Lamiraux, Pierre-Brice Wie...
123
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CONSTRAINTS
2010
101views more  CONSTRAINTS 2010»
15 years 18 days ago
Evaluating the impact of AND/OR search on 0-1 integer linear programming
AND/OR search spaces accommodate advanced algorithmic schemes for graphical models which can exploit the structure of the model. We extend and evaluate the depth-first and best-fi...
Radu Marinescu 0002, Rina Dechter