SPEAKER:  Prof. Amir Dembo, Stanford University

TITLE: Statistical Mechanics on Sparse Random Graphs: Mathematics and Applications

ABSTRACT: Theoretical models of disordered materials lead to challenging mathematical problems with applications to random combinatorial problems and coding theory. The underlying structure is that of many discrete variables that are strongly interacting according to a mean field model determined by a random sparse graph. Focusing on random finite graphs that converge locally to trees we review recent progress in validating the `cavity'  prediction for the limiting free energy per vertex and the approximation of local marginals by the belief propagation  algorithm.


This talk is based on joint works with Andrea Montanari and Nike Sun.

Friday, 30 August, 2013


Phone: 974-2463



Ayres Hall

Room 405

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