Lecture

Convergence of Random Walks

In course

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Description

This lecture covers the convergence of random walks, focusing on the weight of edges, weighted adjacency matrices, and eigenvectors. It explores the conductance of edges, stationary distributions, and the properties of random walks on graphs.

Official source

https://mediaspace.epfl.ch/media/0_3j2lj5ye

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Ontological neighbourhood

Mathematics

Discrete mathematics: Graph theory

Geometry: Euclidean geometry

Statistics

Statistical inference: Mathematical statistics

Logic

Classical logic: First-order logic

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