Cavity and variational methods

Related lectures (29)

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Covers entropy, its definition, and its implications in thermodynamics.

Explains probability distribution, entropy, and Gibbs free entropy, along with the Weiss model.

Explores mutual information and entropy calculation between random variables.

Provides an in-depth analysis of the Random Field Ising Model, covering model description, free entropy, and mean field algorithm.

Explores entropy, ideal gases, and TDS equations in thermodynamics, emphasizing the importance of the Clausius inequality and the Carnot cycle.

Explores the thermodynamic identity, entropy-temperature relationship, and pressure definition, illustrating key principles with practical examples.

Explains how entropy measures uncertainty in a system based on possible outcomes.

Explores the second principle of thermodynamics, emphasizing entropy's role in system evolution and equilibrium.

Covers energy minimization models in biological systems, focusing on equilibrium and the roles of entropy and hydrophobicity.

Introduces the Random-Subcube Model (RSM) for constraint satisfaction problems, exploring its structure, phase transitions, and variable freezing.