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  2. Chebyshev nodes - Wikipedia

    en.wikipedia.org/wiki/Chebyshev_nodes

    Chebyshev nodes of both kinds from = to =.. For a given positive integer the Chebyshev nodes of the first kind in the open interval (,) are = ⁡ (+), =, …,. These are the roots of the Chebyshev polynomials of the first kind with degree .

  3. Logarithmic scale - Wikipedia

    en.wikipedia.org/wiki/Logarithmic_scale

    Semi-log plot of the Internet host count over time shown on a logarithmic scale. A logarithmic scale (or log scale) is a method used to display numerical data that spans a broad range of values, especially when there are significant differences between the magnitudes of the numbers involved.

  4. Chebyshev distance - Wikipedia

    en.wikipedia.org/wiki/Chebyshev_distance

    The two dimensional Manhattan distance has "circles" i.e. level sets in the form of squares, with sides of length √ 2 r, oriented at an angle of π/4 (45°) to the coordinate axes, so the planar Chebyshev distance can be viewed as equivalent by rotation and scaling to (i.e. a linear transformation of) the planar Manhattan distance.

  5. Parallel coordinates - Wikipedia

    en.wikipedia.org/wiki/Parallel_coordinates

    To plot, or visualize, a set of points in n-dimensional space, n parallel lines are drawn over the background representing coordinate axes, typically oriented vertically with equal spacing. Points in n -dimensional space are represented as individual polylines with n vertices placed on the parallel axes corresponding to each coordinate entry of ...

  6. Row and column spaces - Wikipedia

    en.wikipedia.org/wiki/Row_and_column_spaces

    The above algorithm can be used in general to find the dependence relations between any set of vectors, and to pick out a basis from any spanning set. Also finding a basis for the column space of A is equivalent to finding a basis for the row space of the transpose matrix A T.

  7. Maximum spacing estimation - Wikipedia

    en.wikipedia.org/wiki/Maximum_spacing_estimation

    Then the maximum spacing estimator of θ 0 is defined as a value that maximizes the logarithm of the geometric mean of sample spacings: ^ = (), = + + = + = + ⁡ (). By the inequality of arithmetic and geometric means , function S n ( θ ) is bounded from above by −ln( n +1), and thus the maximum has to exist at least in the supremum sense.

  8. Euclidean distance - Wikipedia

    en.wikipedia.org/wiki/Euclidean_distance

    In the Greek deductive geometry exemplified by Euclid's Elements, distances were not represented as numbers but line segments of the same length, which were considered "equal". The notion of distance is inherent in the compass tool used to draw a circle , whose points all have the same distance from a common center point .

  9. Centre-to-centre distance - Wikipedia

    en.wikipedia.org/wiki/Centre-to-centre_distance

    Centre-to-centre distance (c.t.c. distance or ctc distance) is a concept for distances, also called on-center spacing (o.c. spacing or oc spacing), heart distance, and pitch. It is the distance between the centre (the heart) of a column and the centre (the heart) of another column. By expressing a distance in c.t.c., one can measure distances ...