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The Gilbert–Johnson–Keerthi distance algorithm is a method of determining the minimum distance between two convex sets, first published by Elmer G. Gilbert, Daniel W. Johnson, and S. Sathiya Keerthi in 1988. Unlike many other distance algorithms, it does not require that the geometry data be stored。 See more

The paper presents a geometric interpretation of the Gilbert-Johnson-Keerthi (GJK) algorithm, which is an iterative improvement technique for finding the minimum distance between two。

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gjck|A Strange But Elegant Approach to a Surprisingly Hard Problem。

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