Convex hull algorithms

Chan's algorithm

In computational geometry, Chan's algorithm, 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. The algorithm takes time, where is the number of vertices of the output (the convex hull). In the planar case, the algorithm combines an algorithm (Graham scan, for example) with Jarvis march, in order to obtain an optimal time. Chan's algorithm is notable because it is much simpler than the Kirkpatrick–Seidel algorithm, and it naturally extends to 3-dimensional space. This paradigm has been independently developed by Frank Nielsen in his Ph.D. thesis. (Wikipedia).

Chan's algorithm
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Related pages

Lower envelope | Jarvis march | Convex hull algorithms | Gift wrapping algorithm | Computational geometry | Convex hull | Output-sensitive algorithm | Curve orientation | Trapezoid | Kirkpatrick–Seidel algorithm | Graham scan