Point set triangulation
A triangulation of a set of points P in the plane is a triangulation of the convex hull of P, with all points from P being among the vertices of the triangulation.  It can alternatively be defined as a subdivision of the plane determined by a maximal set of non-crossing edges whose vertex set is P. Triangulations are special cases of planar straight-line graphs.
There are special triangulations like the Delaunay triangulation which is the geometric dual of the Voronoi diagram. Subsets of the Delaunay triangulation are the Gabriel graph, nearest neighbor graph and the minimal spanning tree.
Triangulations have a number of applications, and there is an interest to find a "good" triangulation for a given point set under some criteria. One of them is a minimum-weight triangulation. Sometimes it is desirable to have a triangulation with special properties, e.g., in which all triangles have large angles (long and narrow ("splinter") triangles are avoided).
Triangulation and convex hull
A triangulation of the set S of n-dimensional points in general position may be derived from the convex hull of a set of points S1 in the space of dimension larger by 1 which are the projections of the original point set onto the paraboloid surface . One has to construct the convex hull of the set S1 and project it back onto the space of S. If points are not in general position, additional effort is required to triangulate the non-tetrahedral facets.
Complexity of the triangulation
Every triangulation of any set of n points has: triangles and edges where is the number of vertices of (the convex hull of P).
Triangle Splitting Algorithm : Find the convex hull of the point set P and triangulate this hull as a polygon. Choose an interior point and draw edges to the three vertices of the triangle that contains it. Continue this process until all interior points are exhausted.
Incremental Algorithm : Sort the points of P according to x-coordinates. The first three points determine a triangle. Consider the next point in the ordered set and connect it with all previously considered points which are visible to p. Continue this process of adding one point of P at a time until all of P has been processed.
Time complexity of various algorithms
The following is a table of time complexity results for different kinds of optimal point set triangulations.
for degree of 7 
(Closest pair of points problem)
(using the Convex hull)
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