Finite metric spaces--combinatorics, geometry and algorithms

dc.creatorLinial, Nathan
dc.date2003-04-28
dc.date.accessioned2026-07-07T04:57:33Z
dc.date.available2026-07-07T04:57:33Z
dc.descriptionFinite 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.
dc.identifierhttps://arxiv.org/abs/math/0304466
dc.identifierhttp://arxiv.org/abs/math/0304466
dc.identifierProceedings of the ICM, Beijing 2002, vol. 3, 573--586
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/67298
dc.subjectCombinatorics
dc.subjectCombinatorics, Algorithms, Geometry
dc.titleFinite metric spaces--combinatorics, geometry and algorithms
dc.typetext

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