Volume distortion for subsets of Euclidean spaces: extended abstract
Proceedings of the twenty-second annual symposium on Computational geometry
Volume in general metric spaces
ESA'10 Proceedings of the 18th annual European conference on Algorithms: Part II
Distance approximating trees: complexity and algorithms
CIAC'06 Proceedings of the 6th Italian conference on Algorithms and Complexity
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The extensive study of metric spaces and their embeddings has so far focused on embeddings that preserve pairwise distances. A very intriguing concept introduced by Feige allows us to quantify the extent to which larger structures are preserved by a given embedding. We investigate this concept, focusing on several major graph families such as paths, trees, cubes, and expanders. We find some similarities to the regular (pairwise) distortion, as well as some striking differences.