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A '''kinetic smallest enclosing disk''' data structure is a [[kinetic data structure]] that maintains the [[Smallest_circle_problem|smallest enclosing disk]] of a set of moving points.
== 2D ==
In 2 dimensions, the best known kinetic smallest enclosing disk data structure uses farthest point delaunay triangulation of the point set to maintain the kinetic <ref name="DEGS10"></ref>. The farthest-point
This data structure is responsive and compact, but not local or efficient:<ref name="DEGS10"></ref>
* '''Responsiveness:''' This data structure requires <math>O(\log^2 n)</math> time to process each certificate failure, and thus is responsive.
* '''Locality:''' A point can be involved in <math>\Theta(n)</math> certificates. Therefore, this data structure is not local.
* '''Compactness:''' This data structure requires O(n) certificates total, and thus is compact.
* '''Efficiency:''' This data structure has <math>O(n^{3+\epsilon})</math> events total.(for all <math>\epsilon>0</math> The best known lower bound on the number of changes to the smallest enclosing disk is <math>\Omega(n^2)</math>. Thus the efficiency of this data structure, the ratio of total events to external events, is <math>O(n^{1+\epsilon})</math>.
The existence of kinetic data structure that has <math>o(n^{3+\epsilon})</math> is an open problem.<ref name="DEGS10"></ref>
== Approximate 2D ==
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