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Paper detail

Local Algorithms for Graphs

We are going to analyze local algorithms over sparse random graphs. These algorithms are based on local information where local regards to a decision made by the exploration of a small neighbourhood of a certain vertex plus a believe of the structure of the whole graph and maybe added some randomness. This kind of algorithms can be a natural response to the given problem or an efficient approximation such as the Belief Propagation Algorithm.

preprint2014arXivOpen access
David GamarnikMathieu HemerySamuel Hetterich
Data Structures and Algorithmscond-mat.dis-nn
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David GamarnikMathieu HemerySamuel Hetterich

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