Sciweavers

Share
24 search results - page 1 / 5
» Gaussian Belief Propagation for Solving Systems of Linear Eq...
Sort
View
CORR
2008
Springer
149views Education» more  CORR 2008»
8 years 11 months ago
Gaussian Belief Propagation for Solving Systems of Linear Equations: Theory and Application
The canonical problem of solving a system of linear equations arises in numerous contexts in information theory, communication theory, and related fields. In this contribution, we...
Ori Shental, Danny Bickson, Paul H. Siegel, Jack K...
CORR
2008
Springer
113views Education» more  CORR 2008»
8 years 11 months ago
Gaussian Belief Propagation Solver for Systems of Linear Equations
The canonical problem of solving a system of linear equations arises in numerous contexts in information theory, communication theory, and related fields. In this contribution, we ...
Ori Shental, Paul H. Siegel, Jack K. Wolf, Danny B...
CISS
2010
IEEE
8 years 2 months ago
Unconstrained minimization of quadratic functions via min-sum
—Gaussian belief propagation is an iterative algorithm for computing the mean of a multivariate Gaussian distribution. Equivalently, the min-sum algorithm can be used to compute ...
Nicholas Ruozzi, Sekhar Tatikonda
CORR
2008
Springer
129views Education» more  CORR 2008»
8 years 11 months 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
CORR
2010
Springer
116views Education» more  CORR 2010»
8 years 11 months ago
Estimation with Random Linear Mixing, Belief Propagation and Compressed Sensing
Abstract--We apply Guo and Wang's relaxed belief propagation (BP) method to the estimation of a random vector from linear measurements followed by a componentwise probabilisti...
Sundeep Rangan
books