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  2. Taxicab geometry - Wikipedia

    en.wikipedia.org/wiki/Taxicab_geometry

    In taxicab geometry, the lengths of the red, blue, green, and yellow paths all equal 12, the taxicab distance between the opposite corners, and all four paths are shortest paths. Instead, in Euclidean geometry, the red, blue, and yellow paths still have length 12 but the green path is the unique shortest path, with length equal to the Euclidean ...

  3. Metric space - Wikipedia

    en.wikipedia.org/wiki/Metric_space

    In mathematics, a metric space is a set together with a notion of distance between its elements, usually called points. The distance is measured by a function called a metric or distance function. [1] Metric spaces are the most general setting for studying many of the concepts of mathematical analysis and geometry.

  4. Signed distance function - Wikipedia

    en.wikipedia.org/wiki/Signed_distance_function

    Algorithms for calculating the signed distance function include the efficient fast marching method, fast sweeping method [5] and the more general level-set method. For voxel rendering, a fast algorithm for calculating the SDF in taxicab geometry uses summed-area tables .

  5. Euclidean distance - Wikipedia

    en.wikipedia.org/wiki/Euclidean_distance

    The Euclidean distance gives Euclidean space the structure of a topological space, the Euclidean topology, with the open balls (subsets of points at less than a given distance from a given point) as its neighborhoods. [26] Comparison of Chebyshev, Euclidean and taxicab distances for the hypotenuse of a 3-4-5 triangle on a chessboard

  6. Mathematicians Discovered Something Mind-Blowing About the ...

    www.aol.com/lifestyle/mathematicians-discovered...

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  7. Talk:Taxicab geometry - Wikipedia

    en.wikipedia.org/wiki/Talk:Taxicab_geometry

    A circle in taxicab geometry consists of those points that are a fixed Manhattan distance from the center. These circles are squares whose sides make a 45° angle with the coordinate axes.--Abdull 13:37, 21 February 2006 (UTC) In fact, the first statement is wrong: it should read Hilbert's axioms not Euclid's axioms.

  8. Minkowski distance - Wikipedia

    en.wikipedia.org/wiki/Minkowski_distance

    The Minkowski distance or Minkowski metric is a metric in a normed vector space which can be considered as a generalization of both the Euclidean distance and the Manhattan distance. It is named after the Polish mathematician Hermann Minkowski. Comparison of Chebyshev, Euclidean and taxicab distances for the hypotenuse of a 3-4-5 triangle on a ...

  9. File:Minkowski distance examples.svg - Wikipedia

    en.wikipedia.org/wiki/File:Minkowski_distance...

    Minkowski distance examples Image title Comparison of Chebyshev, Euclidean and taxicab distances for the hypotenuse of a 3-4-5 triangle on a chessboard by CMG Lee.