Lecture

Markov Chains: Applications and Analysis

In course

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Description

This lecture covers the concept of Markov chains and their applications in algorithm design, focusing on the coloring problem and the Metropolis chain. The instructor explains how to sample from the space of proper colorings and analyzes the algorithm's behavior. The lecture also introduces the notation for colors and discusses the maximum degree of vertices in the context of coloring graphs.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_fy25k3xw

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Ontological neighbourhood

Mathematics

Discrete mathematics: Graph theory

Statistics

Data collection: Statistical sampling

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