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  2. Convex hull algorithms - Wikipedia

    en.wikipedia.org/wiki/Convex_hull_algorithms

    Dynamic convex hull maintenance: The input points may be sequentially inserted or deleted, and the convex hull must be updated after each insert/delete operation. Insertion of a point may increase the number of vertices of a convex hull at most by 1, while deletion may convert an n -vertex convex hull into an n-1 -vertex one.

  3. Convex hull - Wikipedia

    en.wikipedia.org/wiki/Convex_hull

    Examples include the oloid, the convex hull of two circles in perpendicular planes, each passing through the other's center, [28] the sphericon, the convex hull of two semicircles in perpendicular planes with a common center, and D-forms, the convex shapes obtained from Alexandrov's uniqueness theorem for a surface formed by gluing together two ...

  4. Alpha shape - Wikipedia

    en.wikipedia.org/wiki/Alpha_shape

    Convex hull, alpha shape and minimal spanning tree of a bivariate data set. In computational geometry, an alpha shape, or α-shape, is a family of piecewise linear simple curves in the Euclidean plane associated with the shape of a finite set of points. They were first defined by Edelsbrunner, Kirkpatrick & Seidel (1983).

  5. List of convexity topics - Wikipedia

    en.wikipedia.org/wiki/List_of_convexity_topics

    Convex and Concave - a print by Escher in which many of the structure's features can be seen as both convex shapes and concave impressions. Convex body - a compact convex set in a Euclidean space whose interior is non-empty. Convex conjugate - a dual of a real functional in a vector space. Can be interpreted as an encoding of the convex hull of ...

  6. Quickhull - Wikipedia

    en.wikipedia.org/wiki/Quickhull

    The points lying inside of that triangle cannot be part of the convex hull and can therefore be ignored in the next steps. Recursively repeat the previous two steps on the two lines formed by the two new sides of the triangle. Continue until no more points are left, the recursion has come to an end and the points selected constitute the convex ...

  7. Category:Convex hull algorithms - Wikipedia

    en.wikipedia.org/wiki/Category:Convex_hull...

    Pages in category "Convex hull algorithms" The following 11 pages are in this category, out of 11 total. This list may not reflect recent changes. ...

  8. Graham scan - Wikipedia

    en.wikipedia.org/wiki/Graham_scan

    A demo of Graham's scan to find a 2D convex hull. Graham's scan is a method of finding the convex hull of a finite set of points in the plane with time complexity O(n log n). It is named after Ronald Graham, who published the original algorithm in 1972. [1] The algorithm finds all vertices of the convex hull ordered along its boundary.

  9. Chan's algorithm - Wikipedia

    en.wikipedia.org/wiki/Chan's_algorithm

    A 2D demo for Chan's algorithm. Note however that the algorithm divides the points arbitrarily, not by x-coordinate. In computational geometry, Chan's algorithm, [1] named after Timothy M. Chan, is an optimal output-sensitive algorithm to compute the convex hull of a set of points, in 2- or 3-dimensional space.