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Finite metric spaces--combinatorics, geometry and algorithms

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arxiv math/0304466 v1 pith:VKIKKGUO submitted 2003-04-28 math.CO

classification math.CO
keywords metricspacesfinitemanyadvancesalgorithmsrecentarea
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Finite metric spaces arise in many different contexts. Enormous bodies of data, scientific, commercial and others can often be viewed as large metric spaces. It turns out that the metric of graphs reveals a lot of interesting information. Metric spaces also come up in many recent advances in the theory of algorithms. Finally, finite submetrics of classical geometric objects such as normed spaces or manifolds reflect many important properties of the underlying structure. In this paper we review some of the recent advances in this area.

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Cited by 1 Pith paper

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  1. Manifold-Guided Motion Planning for Tight Assemblies

    cs.RO 2026-07 reject novelty 6.0 of 10

    A sampling-based planner that biases samples toward near-contact configurations solves previously unsolved tight assembly puzzles and is claimed to be probabilistically complete.

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