A spanning tree T of graph G is a ρ-approximate universal Steiner
tree (...
A ν-reliable spanner of a metric space (X,d), is a (dominating)
graph H,...
We introduce and study the communication complexity of computing the inn...
Chan, Har-Peled, and Jones [SICOMP 2020] developed locality-sensitive
or...
In this paper we initiate the study of expander decompositions of a grap...
Cohen-Addad, Filtser, Klein and Le [FOCS'20] constructed a stochastic
em...
Given a metric space ℳ=(X,δ), a weighted graph G over X
is a metric t-sp...
In network design problems, such as compact routing, the goal is to rout...
Chan, Har-Peled, and Jones [2020] recently developed locality-sensitive
...
In low distortion metric embeddings, the goal is to embed a host "hard"
...
Understanding the structure of minor-free metrics, namely shortest path
...
Graph sketching is a powerful technique introduced by the seminal work o...
Given a curve P with points in ℝ^d in a streaming fashion, and
parameter...
Consider a set of voters V, represented by a multiset in a metric space
...
A partition P of a weighted graph G is
(σ,τ,Δ)-sparse if every cluster h...
We investigate for which metric spaces the performance of distance label...
Given a weighted graph G=(V,E,w), a partition of V is Δ-bounded if
the d...
A t- spanner H of a weighted graph G=(V,E,w) is a subgraph that
approxim...
It was conjectured by Gupta et. al. [Combinatorica04] that every planar ...
In the (1+ε,r)-approximate-near-neighbor problem for curves
(ANNC) under...
We reprove three known algorithmic bounds for terminal-clustering proble...
We reprove three known (algorithmic) bounds for terminal-clustering prob...
In the Steiner Point Removal (SPR) problem, we are given a weighted grap...
We consider distributed elections, where there is a center and k sites. ...
Spanners for low dimensional spaces (e.g. Euclidean space of constant
di...