Embedding into l ∞ 2 Is Easy, Embedding into l ∞ 3 Is NP-Complete

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Embedding into l 2 ∞ is Easy , Embedding into l 3 ∞ is NP - Complete

We give a new algorithm for enumerating all possible embeddings of a metric space (i.e., the distances between every pair within a set of n points) into R Cartesian space preserving their l∞ (or l1) metric distances. Its expected time is O(n 2 log n) (i.e. within a poly-log of the size of the input) beating the previous O(n) algorithm. In contrast, we prove that detecting l ∞ embeddings is NP-c...

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ژورنال

عنوان ژورنال: Discrete & Computational Geometry

سال: 2008

ISSN: 0179-5376,1432-0444

DOI: 10.1007/s00454-008-9064-z