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  2. Entropy (information theory) - Wikipedia

    en.wikipedia.org/wiki/Entropy_(information_theory)

    Two bits of entropy: In the case of two fair coin tosses, the information entropy in bits is the base-2 logarithm of the number of possible outcomes ‍ — with two coins there are four possible outcomes, and two bits of entropy. Generally, information entropy is the average amount of information conveyed by an event, when considering all ...

  3. Entropy in thermodynamics and information theory - Wikipedia

    en.wikipedia.org/wiki/Entropy_in_thermodynamics...

    The logarithm in the thermodynamic definition is the natural logarithm. It can be shown that the Gibbs entropy formula, with the natural logarithm, reproduces all of the properties of the macroscopic classical thermodynamics of Rudolf Clausius. (See article: Entropy (statistical views)).

  4. Entropy (statistical thermodynamics) - Wikipedia

    en.wikipedia.org/wiki/Entropy_(statistical...

    The entropy S is proportional to the natural logarithm of this number: S = k B ln ⁡ Ω {\displaystyle S=k_{\text{B}}\ln \Omega } The proportionality constant k B is one of the fundamental constants of physics and is named the Boltzmann constant in honor of its discoverer.

  5. Introduction to entropy - Wikipedia

    en.wikipedia.org/wiki/Introduction_to_entropy

    When measuring entropy using the natural logarithm (ln), the unit of information entropy is called a "nat", but when it is measured using the base-2 logarithm, the unit of information entropy is called a "shannon" (alternatively, "bit"). This is just a difference in units, much like the difference between inches and centimeters.

  6. Cross-entropy - Wikipedia

    en.wikipedia.org/wiki/Cross-entropy

    The cross entropy arises in classification problems when introducing a logarithm in the guise of the log-likelihood function. The section is concerned with the subject of estimation of the probability of different possible discrete outcomes.

  7. Boltzmann's entropy formula - Wikipedia

    en.wikipedia.org/wiki/Boltzmann's_entropy_formula

    Boltzmann's entropy formula—carved on his gravestone. [1]In statistical mechanics, Boltzmann's entropy formula (also known as the Boltzmann–Planck equation, not to be confused with the more general Boltzmann equation, which is a partial differential equation) is a probability equation relating the entropy, also written as , of an ideal gas to the multiplicity (commonly denoted as or ), the ...

  8. Mutual information - Wikipedia

    en.wikipedia.org/wiki/Mutual_information

    If the natural logarithm is used, the unit of mutual information is the nat. If the log base 2 is used, the unit of mutual information is the shannon, also known as the bit. If the log base 10 is used, the unit of mutual information is the hartley, also known as the ban or the dit.

  9. Entropy - Wikipedia

    en.wikipedia.org/wiki/Entropy

    Entropy is a scientific concept, ... in which he defined entropy as proportional to the natural logarithm of the number of microstates such a gas could occupy.