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  2. Convex hull algorithms - Wikipedia

    en.wikipedia.org/wiki/Convex_hull_algorithms

    The convex hull of a simple polygon is divided by the polygon into pieces, one of which is the polygon itself and the rest are pockets bounded by a piece of the polygon boundary and a single hull edge. Although many algorithms have been published for the problem of constructing the convex hull of a simple polygon, nearly half of them are ...

  3. Quickhull - Wikipedia

    en.wikipedia.org/wiki/Quickhull

    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 hull. Steps 3-5: Find a point with the maximum distance, ignore points inside the triangle, and recurse.

  4. 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.

  5. Convex hull - Wikipedia

    en.wikipedia.org/wiki/Convex_hull

    The closed convex hull of a set is the closure of the convex hull, and the open convex hull is the interior (or in some sources the relative interior) of the convex hull. [9] The closed convex hull of is the intersection of all closed half-spaces containing .

  6. Dynamic convex hull - Wikipedia

    en.wikipedia.org/wiki/Dynamic_convex_hull

    The dynamic convex hull problem is a class of dynamic problems in computational geometry.The problem consists in the maintenance, i.e., keeping track, of the convex hull for input data undergoing a sequence of discrete changes, i.e., when input data elements may be inserted, deleted, or modified.

  7. 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.

  8. Polygon triangulation - Wikipedia

    en.wikipedia.org/wiki/Polygon_triangulation

    A point-set triangulation is a polygon triangulation of the convex hull of a set of points. A Delaunay triangulation is another way to create a triangulation based on a set of points. The associahedron is a polytope whose vertices correspond to the triangulations of a convex polygon. Polygon triangle covering, in which the triangles may overlap.

  9. Delaunay triangulation - Wikipedia

    en.wikipedia.org/wiki/Delaunay_triangulation

    The sweep-hull is created sequentially by iterating a radially-sorted set of 2D points, and connecting triangles to the visible part of the convex hull, which gives a non-overlapping triangulation. One can build a convex hull in this manner so long as the order of points guarantees no point would fall within the triangle.