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Maximum entropy thermodynamics
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Maximum entropy thermodynamics
In
physics
,
maximum entropy thermodynamics
(colloquially,
MaxEnt
thermodynamics
) views
equilibrium thermodynamics
and
statistical mechanics
as inference processes. More specifically, MaxEnt applies inference techniques rooted in
Shannon information theory
,
Bayesian probability
, and the
principle of maximum entropy
. These techniques are relevant to any situation requiring prediction from incomplete or insufficient data (e.g.,
image reconstruction
,
signal processing
,
spectral analysis
, and
inverse problems
). MaxEnt thermodynamics began with two papers by
Edwin T. Jaynes
published in the 1957
Physical Review
.
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