Online embedding of metrics
Ilan Newman, Yuri G. Rabinovich · arXiv (Cornell University) · 2023
We study deterministic online embeddings of metrics 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 $\ell_\infty$ of a suitably high dimension.