Optimization and Simulation

In course

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Description

This lecture covers optimization techniques such as Metropolis-Hastings, Gibbs sampling, and Simulated Annealing, focusing on the concept of Markov chains and stationary distributions. It explains how to construct a Markov process through neighborhood structures to find optimal solutions efficiently.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_cbxpp8uh

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