Convergence of Min-Sum Message Passing for Quadratic Optimization


Abstract in English

We establish the convergence of the min-sum message passing algorithm for minimization of a broad class of quadratic objective functions: those that admit a convex decomposition. Our results also apply to the equivalent problem of the convergence of Gaussian belief propagation.

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