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  2. HackerRank - Wikipedia

    en.wikipedia.org/wiki/HackerRank

    HackerRank's programming challenges can be solved in a variety of programming languages (including Java, C++, PHP, Python, SQL, and JavaScript) and span multiple computer science domains. [ 2 ] HackerRank categorizes most of their programming challenges into a number of core computer science domains, [ 3 ] including database management ...

  3. k-d tree - Wikipedia

    en.wikipedia.org/wiki/K-d_tree

    In computer science, a k-d tree (short for k-dimensional tree) is a space-partitioning data structure for organizing points in a k-dimensional space. K-dimensional is that which concerns exactly k orthogonal axes or a space of any number of dimensions. [1] k-d trees are a useful data structure for several applications, such as:

  4. Multidimensional panel data - Wikipedia

    en.wikipedia.org/wiki/Multidimensional_panel_data

    In econometrics, a multidimensional panel data is data of a phenomenon observed over three or more dimensions. This comes in contrast with panel data, observed over two dimensions (typically, time and cross-sections). An example is a data set containing forecasts of one or multiple macroeconomic variables produced by multiple individuals (the ...

  5. Box counting - Wikipedia

    en.wikipedia.org/wiki/Box_counting

    To do this, for each in , a measuring element that is typically a 2-dimensional square or 3-dimensional box with side length corresponding to is used to scan a pattern or data set (e.g., an image or object) according to a predetermined scanning plan to cover the relevant part of the data set, recording, i.e.,counting, for each step in the scan ...

  6. Trilinear interpolation - Wikipedia

    en.wikipedia.org/wiki/Trilinear_interpolation

    Trilinear interpolation is the extension of linear interpolation, which operates in spaces with dimension =, and bilinear interpolation, which operates with dimension =, to dimension =. These interpolation schemes all use polynomials of order 1, giving an accuracy of order 2, and it requires 2 D = 8 {\displaystyle 2^{D}=8} adjacent pre-defined ...

  7. Galerkin method - Wikipedia

    en.wikipedia.org/wiki/Galerkin_method

    of the matrix form an orthonormal basis of the 2-dimensional subspace of the Galerkin projection. The entries of the 2-by-2 Galerkin matrix V ∗ A V {\displaystyle V^{*}AV} are a ( e j , e i ) , i , j = 1 , 2 {\displaystyle a(e_{j},e_{i}),\,i,j=1,2} , while the components of the right-hand-side vector V ∗ b {\displaystyle V^{*}\mathbf {b ...

  8. Higuchi dimension - Wikipedia

    en.wikipedia.org/wiki/Higuchi_dimension

    Applications to fractional Brownian functions and the Weierstrass function reveal that the Higuchi fractal dimension can be close to the box-dimension. [ 4 ] [ 5 ] On the other hand, the method can be unstable in the case where the data X ( 1 ) , … , X ( N ) {\displaystyle X(1),\dots ,X(N)} are periodic or if subsets of it lie on a horizontal ...

  9. Vapnik–Chervonenkis dimension - Wikipedia

    en.wikipedia.org/wiki/Vapnik–Chervonenkis...

    Thus, the VC dimension of this particular classifier is 3. It is important to remember that while one can choose any arrangement of points, the arrangement of those points cannot change when attempting to shatter for some label assignment. Note, only 3 of the 2 3 = 8 possible label assignments are shown for the three points.

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