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The '''Gilbert-Johnson-Keerthi distance [[algorithm]]''' is a method of determining the minimum distance between two [[convex set]]s. Unlike many other distance algorithms, it does not require that the geometry data be stored in any specific format, but instead relies solely on a [[support (mathematics)|support function]] to iteratively generate closer points to the correct answer.
The algorithm's stability, speed, and small storage footprint make it popular for realtime [[collision detection]], especially in [[physics
==External links==
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