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  2. Z-order curve - Wikipedia

    en.wikipedia.org/wiki/Z-order_curve

    The Z-ordering can be used to efficiently build a quadtree (2D) or octree (3D) for a set of points. [4] [5] The basic idea is to sort the input set according to Z-order.Once sorted, the points can either be stored in a binary search tree and used directly, which is called a linear quadtree, [6] or they can be used to build a pointer based quadtree.

  3. Space-filling curve - Wikipedia

    en.wikipedia.org/wiki/Space-filling_curve

    The two subcurves intersect if the intersection of the two images is non-empty. One might be tempted to think that the meaning of curves intersecting is that they necessarily cross each other, like the intersection point of two non-parallel lines, from one side to the other. However, two curves (or two subcurves of one curve) may contact one ...

  4. Voronoi diagram - Wikipedia

    en.wikipedia.org/wiki/Voronoi_diagram

    When two cells in the Voronoi diagram share a boundary, it is a line segment, ray, or line, consisting of all the points in the plane that are equidistant to their two nearest sites. The vertices of the diagram, where three or more of these boundaries meet, are the points that have three or more equally distant nearest sites.

  5. Ramer–Douglas–Peucker algorithm - Wikipedia

    en.wikipedia.org/wiki/Ramer–Douglas–Peucker...

    In the worst case, i = 1 or i = n − 2 at each recursive invocation yields a running time of O(n 2). In the best case, i = ⁠ n / 2 ⁠ or i = ⁠ n ± 1 / 2 ⁠ at each recursive invocation yields a running time of O(n log n). Using (fully or semi-) dynamic convex hull data structures, the simplification performed by the algorithm can be ...

  6. Smallest-circle problem - Wikipedia

    en.wikipedia.org/wiki/Smallest-circle_problem

    Some instances of the smallest bounding circle. The smallest-circle problem (also known as minimum covering circle problem, bounding circle problem, least bounding circle problem, smallest enclosing circle problem) is a computational geometry problem of computing the smallest circle that contains all of a given set of points in the Euclidean plane.

  7. Affine transformation - Wikipedia

    en.wikipedia.org/wiki/Affine_transformation

    Let X be an affine space over a field k, and V be its associated vector space. An affine transformation is a bijection f from X onto itself that is an affine map; this means that a linear map g from V to V is well defined by the equation () = (); here, as usual, the subtraction of two points denotes the free vector from the second point to the first one, and "well-defined" means that ...

  8. Trilinear interpolation - Wikipedia

    en.wikipedia.org/wiki/Trilinear_interpolation

    Trilinear interpolation as two bilinear interpolations followed by a linear interpolation. Trilinear interpolation is a method of multivariate interpolation on a 3-dimensional regular grid . It approximates the value of a function at an intermediate point ( x , y , z ) {\displaystyle (x,y,z)} within the local axial rectangular prism linearly ...

  9. Bézier curve - Wikipedia

    en.wikipedia.org/wiki/Bézier_curve

    To that end, the plane is first split into eight 45° sectors (by the coordinate axes and the two lines =), then the curve is decomposed into smaller segments such that the direction of a curve segment stays within one sector; since the curve velocity is a second degree polynomial, finding the values where it is parallel to one of these lines ...