Matching solid shapes in arbitrary dimension via random sampling
We give simple probabilistic algorithms that approximately maximize the volume of overlap of two solid, i.e. full-dimensional, shapes under translations and rigid motions. The shapes are subsets of $ℝ^d$ where $d≥ 2$. The algorithms approximate with respect to an pre-specified additive error and suc...
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Format: | Article |
Language: | English |
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Discrete Mathematics & Theoretical Computer Science
2012-01-01
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Series: | Discrete Mathematics & Theoretical Computer Science |
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Online Access: | https://dmtcs.episciences.org/2992/pdf |