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  2. Statistical distance - Wikipedia

    en.wikipedia.org/wiki/Statistical_distance

    In statistics, probability theory, and information theory, a statistical distance quantifies the distance between two statistical objects, which can be two random variables, or two probability distributions or samples, or the distance can be between an individual sample point and a population or a wider sample of points.

  3. Vincenty's formulae - Wikipedia

    en.wikipedia.org/wiki/Vincenty's_formulae

    Vincenty's formulae are two related iterative methods used in geodesy to calculate the distance between two points on the surface of a spheroid, developed by Thaddeus Vincenty (1975a). They are based on the assumption that the figure of the Earth is an oblate spheroid, and hence are more accurate than methods that assume a spherical Earth, such ...

  4. Robinson–Foulds metric - Wikipedia

    en.wikipedia.org/wiki/Robinson–Foulds_metric

    The Robinson–Foulds or symmetric difference metric, often abbreviated as the RF distance, is a simple way to calculate the distance between phylogenetic trees. [1]It is defined as (A + B) where A is the number of partitions of data implied by the first tree but not the second tree and B is the number of partitions of data implied by the second tree but not the first tree (although some ...

  5. Bhattacharyya distance - Wikipedia

    en.wikipedia.org/wiki/Bhattacharyya_distance

    In statistics, the Bhattacharyya distance is a quantity which represents a notion of similarity between two probability distributions. [1] It is closely related to the Bhattacharyya coefficient , which is a measure of the amount of overlap between two statistical samples or populations.

  6. Hausdorff distance - Wikipedia

    en.wikipedia.org/wiki/Hausdorff_distance

    The definition of the Hausdorff distance can be derived by a series of natural extensions of the distance function (,) in the underlying metric space M, as follows: [7] Define a distance function between any point x of M and any non-empty set Y of M by: (,) = {(,)}.

  7. Metric space - Wikipedia

    en.wikipedia.org/wiki/Metric_space

    Wasserstein metrics measure the distance between two measures on the same metric space. The Wasserstein distance between two measures is, roughly speaking, the cost of transporting one to the other. The set of all m by n matrices over some field is a metric space with respect to the rank distance (,) = ().

  8. A Cold War-era bomb shelter in Florida has new owners. What's ...

    www.aol.com/cold-war-era-bomb-shelter-100924902.html

    Previous real estate agents recommended converting the space to a garage for a classic car collection. The previous owners attempted to fashion the shelter into a Tier IV data center — the ...

  9. Lattice constant - Wikipedia

    en.wikipedia.org/wiki/Lattice_constant

    Unit cell definition using parallelepiped with lengths a, b, c and angles between the sides given by α, β, γ [1]. A lattice constant or lattice parameter is one of the physical dimensions and angles that determine the geometry of the unit cells in a crystal lattice, and is proportional to the distance between atoms in the crystal.