Algorithms that construct convex hulls of various objects have a broad range of applications in mathematics and computer science.
In computational geometry, numerous algorithms are proposed for computing the convex hull of a finite set of points, with various computational complexities.
Computing the convex hull means that a non-ambiguous and efficient representation of the required convex shape is constructed. The complexity of the corresponding algorithms is usually estimated in terms of n, the number of input points, and sometimes also in terms of h, the number of points on the convex hull.
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Algorithms that construct convexhulls of various objects have a broad range of applications in mathematics and computer science. In computational geometry...
In geometry, the convexhull, convex envelope or convex closure of a shape is the smallest convex set that contains it. The convexhull may be defined either...
n[citation needed]. In general cases, the algorithm is outperformed by many others ( See Convexhullalgorithms). For the sake of simplicity, the description...
Ronald Graham, who published the original algorithm in 1972. The algorithm finds all vertices of the convexhull ordered along its boundary. It uses a stack...
This lower bound is attainable, because several general-purpose convexhullalgorithms run in linear time when input points are ordered in some way and...
Quickhull is a method of computing the convexhull of a finite set of points in n-dimensional space. It uses a divide and conquer approach similar to...
every convex set is orthogonally convex but not vice versa. For the same reason, the orthogonal convexhull itself is a subset of the convexhull of the...
general concept of a convexhull. It can be computed in linear time, faster than algorithms for convexhulls of point sets. The convexhull of a simple polygon...
of algorithms which can be stated in terms of geometry. Some purely geometrical problems arise out of the study of computational geometric algorithms, and...
Delone triangulation of a set of points in the plane subdivides their convexhull into triangles whose circumcircles do not contain any of the points....
Various convexhullalgorithms deal both with the facet enumeration and face lattice construction. In the planar case, i.e., for a convex polygon, both...
detection algorithms: check for the collision or intersection of two given solids Cone algorithm: identify surface points Convexhullalgorithms: determining...
A kinetic convexhull data structure is a kinetic data structure that maintains the convexhull of a set of continuously moving points. It should be distinguished...
is always a convex curve. The intersection of all the convex sets that contain a given subset A of Euclidean space is called the convexhull of A. It is...
the box. It is sufficient to find the smallest enclosing box for the convexhull of the objects in question. It is straightforward to find the smallest...
and computational geometry, the relative convexhull or geodesic convexhull is an analogue of the convexhull for the points inside a simple polygon or...
Mathematics Vol. 7: 27–41 Chan, T. M. (1996), "Optimal output-sensitive convexhullalgorithms in two and three dimensions", Discrete and Computational Geometry...
subspace of V are convex cones. The conical hull of a finite or infinite set of vectors in R n {\displaystyle \mathbb {R} ^{n}} is a convex cone. The tangent...
Local convexhull (LoCoH) is a method for estimating size of the home range of an animal or a group of animals (e.g. a pack of wolves, a pride of lions...
convex conical hull of S is a closed set. Affine combination Convex combination Linear combination Convex Analysis and Minimization Algorithms by Jean-Baptiste...
inequalities given the vertices is called facet enumeration (see convexhullalgorithms). The computational complexity of the problem is a subject of research...
projection (shadow) of objects on the surface may be used to reconstruct the convexhull of the object.[citation needed] 3D reconstruction from multiple images...
considered important enough to have much research on specialized algorithms. A number of algorithms for other types of optimization problems work by solving linear...
and he is also known for the Kirkpatrick–Seidel algorithm for computing two-dimensional convexhulls. Profile Archived 2007-10-30 at the Wayback Machine...
the algorithms, followed by two or three chapters on algorithms for that subtopic. The topics presented in these sections and chapters include convex hulls...
the convexhull of its edges. Additional properties of convex polygons include: The intersection of two convex polygons is a convex polygon. A convex polygon...