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Lecture
Gibbs Entropy and Information Theory
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Related lectures (29)
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Statistical Physics: Isolated Systems and Entropy
Covers statistical physics, isolated systems, entropy, and the Boltzmann distribution.
Ensembles and Partition Functions
Covers ensembles, partition functions, and distributions in statistical thermodynamics.
Variational Formulation: Information Measures
Explores variational formulation for measuring information content and divergence between probability distributions.
Information Measures
Covers information measures like entropy and Kullback-Leibler divergence.
Quantifying Information: Probability, Entropy, and Constraints
Explores quantifying information based on probability, entropy, and constraints in communication systems.
Curie Weiss Model
Covers the Curie-Weiss model in Statistical Physics, including magnetization probability, free entropy, and the cavity method.
Interpretation of Entropy
Explores the concept of entropy expressed in bits and its relation to probability distributions, focusing on information gain and loss in various scenarios.
Probability Distribution and Entropy
Explains probability distribution, entropy, and Gibbs free entropy, along with the Weiss model.
Energy Minimization in Biological Systems: Equilibrium Models
Covers energy minimization models in biological systems, focusing on equilibrium and the roles of entropy and hydrophobicity.
Data Compression and Entropy: Illustrating Entropy Properties
Explores entropy as a measure of disorder and how it can be increased.
