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20022026
most citedFast Construction of Nets in Low Dimensional Metrics, and Their Applications

272 citations · 611 across the 76 of their papers we have counts for

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cs.CG2026

The Quick Dog Jumps the Log

Lotte Blank, Anne Driemel, Sariel Har-Peled +1

We give linear-time, and thus optimal, -approximation algorithms for numerous variants of the Frechet distance between -packed curves (where ), remo…

cs.CG2026

How to Get Close to the Median Shape

Sariel Har-Peled

In this paper, we study the problem of -fitting a shape to a set of points…

cs.CG2026

An Output Sensitive Algorithm for Discrete Convex Hulls

Sariel Har-Peled

Given a convex body in the plane, its discrete hull is $C^0 = \CH(…

cs.CG2025★ 9 cited

The Complexity of One or Many Faces in the Overlay of Many Arrangements

Sariel Har-Peled

We present an extension of the Combination Lemma of [GSS89] that expresses the complexity of one or several faces in the overlay of many arrangements, as a function of the number o…

cs.CG2025★ 8 cited

Polygon Containment and Translational Min-Hausdorff-Distance between Segment Sets are 3SUM-Hard

Gill Barequet, Sariel Har-Peled

The 3SUM problem represents a class of problems conjectured to require time to solve, where is the size of the input. Given two polygons and in the plane, we s…

cs.CG2025

Efficiently Approximating the Minimum-Volume Bounding Box of a Point Set in Three Dimensions

Gill Barequet, Sariel Har-Peled

We present an efficient -time algorithm for computing a )-approximation of the minimum-volume bounding…

cs.CG2025★ 16 cited

New Constructions of SSPDs and their Applications

Mohammad A. Abam, Sariel Har-Peled

We present a new optimal construction of a semi-separated pair decomposition (i.e., SSPD) for a set of points in . In the new constructio…

cs.CG2025

A Practical Approach for Computing the Diameter of a Point Set

Sariel Har-Peled

We present an approximation algorithm for computing the diameter of a point-set in . The new algorithm is sensitive to the ``hardness'' of computing the diameter of the give…

cs.CG2023★ 2 cited

On the Width of the Regular -Simplex

Sariel Har-Peled, Eliot W. Robson

Consider the regular -simplex - it is formed by the convex-hull of points in Euclidean space, with each pair of points being in distance exactly one from each other.…

cs.CG2022

Computing Optimal Kernels in Two Dimensions

Pankaj K. Agarwal, Sariel Har-Peled

Let be a set of points in . For a parameter , a subset is an \emph{-kernel} of if the projection of the convex…

cs.CG2021

On Clusters that are Separated but Large

Sariel Har-Peled, Joseph Rogge

Given a set of points in , consider the problem of computing subsets of that form clusters that are well-separated from each…

cs.CG2021

How Packed Is It, Really?

Sariel Har-Peled, Timothy Zhou

The congestion of a curve is a measure of how much it zigzags around locally. More precisely, a curve is -packed if the length of the curve lying inside any ball is at most…

cs.CG2021

On Undecided LP, Clustering and Active Learning

Stav Ashur, Sariel Har-Peled

We study colored coverage and clustering problems. Here, we are given a colored point set where the points are covered by (unknown) clusters, which are monochromatic (i.e., all…

cs.CG2020

Shortest Secure Path in a Voronoi Diagram

Sariel Har-Peled, Rajgopal Varadharajan

We investigate the problem of computing the shortest secure path in a Voronoi diagram. Here, a path is secure if it is a sequence of touching Voronoi cells, where each Voronoi cell…

cs.CG2020★ 1 cited

Reliable Spanners for Metric Spaces

Sariel Har-Peled, Manor Mendel, Dániel Oláh

A spanner is reliable if it can withstand large, catastrophic failures in the network. More precisely, any failure of some nodes can only cause a small damage in the remaining grap…

cs.CG2020

Improved Approximation Algorithms for Tverberg Partitions

Sariel Har-Peled, Timothy Zhou

Tverberg's theorem states that a set of points in can be partitioned into $\flo…

cs.CG2020

Submodular Clustering in Low Dimensions

Arturs Backurs, Sariel Har-Peled

We study a clustering problem where the goal is to maximize the coverage of the input points by chosen centers. Specifically, given a set of points $P \subseteq \mathbb{R}^…

cs.CG2020

The Maximum-Level Vertex in an Arrangement of Lines

Dan Halperin, Sariel Har-Peled, Kurt Mehlhorn +2

Let be a set of lines in the plane, not necessarily in general position. We present an efficient algorithm for finding all the vertices of the arrangement of maximum…

cs.CG2019

Covering Polygons by Min-Area Convex Polygons

Elias Dahlhaus, Sariel Har-Peled, Alan L. Hu

Given a set of disjoint simple polygons , of total complexity , consider a convexification process that repeatedly replaces a polygon by its convex hull, and a…

cs.CG2019

Proof of Dudley's Convex Approximation

Sariel Har-Peled, Mitchell Jones

We provide a self contained proof of a result of Dudley [Dud64]} which shows that a bounded convex-body in can be -approximated, by the intersection of $O_d\bi…

cs.CG2019

Optimal Algorithms for Geometric Centers and Depth

Timothy M. Chan, Sariel Har-Peled, Mitchell Jones

We develop a general randomized technique for solving "implic it" linear programming problems, where the collection of constraints are defined impl…

cs.CG2019

Sometimes Reliable Spanners of Almost Linear Size

Kevin Buchin, Sariel Har-Peled, Daniel Olah

Reliable spanners can withstand huge failures, even when a linear number of vertices are deleted from the network. In case of failures, a reliable spanner may have some additional…

cs.CG2019

Some Geometric Applications of Anti-Chains

Sariel Har-Peled, Mitchell Jones

We present an algorithmic framework for computing anti-chains of maximum size in geometric posets. Specifically, posets in which the entities are geometric objects, where comparabi…

cs.CG2019

Smallest k-Enclosing Rectangle Revisited

Timothy M. Chan, Sariel Har-Peled

Given a set of points in the plane, and a parameter , we consider the problem of computing the minimum (perimeter or area) axis-aligned rectangle enclosing points. We pr…