Online embedding of metrics

Research output: Contribution to journalArticlepeer-review

Abstract

We study deterministic online embeddings of metric spaces into normed spaces and into trees against an adaptive adversary. Main results include a polynomial lower bound on the (multiplicative) distortion of embedding into Euclidean spaces, a tight exponential upper bound on embedding into the line, and a (1 + ϵ)-distortion embedding in ℓ of a suitably high dimension.

Original languageAmerican English
JournalIsrael Journal of Mathematics
DOIs
StateAccepted/In press - 2025

All Science Journal Classification (ASJC) codes

  • General Mathematics

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