Approximation Algorithms for Embedding with Extra Information and Ordinal Relaxation
Microsoft
Approximation Algorithms for Embedding with Extra Information and Ordinal Relaxation
This talk considers approximation algorithms for embedding: constructing a global geometry that is approximately consistent with a given local geometry, which is typically represented by distances between some or all pairs of points in a point set. Such problems arise, for example, in the contexts of sensor networks and structural analysis of ...
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