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20092025
most citedThe Traveling Salesman Problem: Low-Dimensionality Implies a Polynomial Time Approximation Scheme

28 citations · 70 across the 20 of their papers we have counts for

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Showing cs.CGShow all

7 papers · 1 filter

cs.CG2019★ 1 cited

Near-linear time approximation schemes for Steiner tree and forest in low-dimensional spaces

Lee-Ad Gottlieb, Yair Bartal

We give an algorithm that computes a -approximate Steiner forest in near-linear time . This is a dramatic improvement upon the…

cs.CG2015★ 2 cited

Approximate nearest neighbor search for -spaces () via embeddings

Yair Bartal, Lee-Ad Gottlieb

While the problem of approximate nearest neighbor search has been well-studied for Euclidean space and , few non-trivial algorithms are known for when ($2 < p < \i…

cs.CG2015★ 9 cited

A light metric spanner

Lee-Ad Gottlieb

It has long been known that -dimensional Euclidean point sets admit -stretch spanners with lightness , that is total edge weight at most times the…

cs.CG2014★ 1 cited

Dimension reduction techniques for , , with applications

Yair Bartal, Lee-Ad Gottlieb

For Euclidean space (), there exists the powerful dimension reduction transform of Johnson and Lindenstrauss, with a host of known applications. Here, we consider the probl…

cs.CG2014

Light spanners for snowflake metrics

Lee-Ad Gottlieb, Shay Solomon

A classic result in the study of spanners is the existence of light low-stretch spanners for Euclidean spaces. These spanners ahve arbitrary low stretch, and weight only a constant…

cs.CG2013★ 1 cited

On the Impossibility of Dimension Reduction for Doubling Subsets of ,

Yair Bartal, Lee-Ad Gottlieb, Ofer Neiman

A major open problem in the field of metric embedding is the existence of dimension reduction for -point subsets of Euclidean space, such that both distortion and dimension depe…

cs.CG2009★ 13 cited

A Nonlinear Approach to Dimension Reduction

Lee-Ad Gottlieb, Robert Krauthgamer

The flattening lemma of Johnson and Lindenstrauss [JL84] is a powerful tool for dimension reduction. It has been conjectured that the target dimension bounds can be refined a…