activity
20142017
most citedHigher Dimensional Discrete Cheeger Inequalities

2 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CC2017

On the Complexity of Polytopes in

Komei Fukuda, May Szedlak

In this paper we consider polytopes given by systems of inequalities in variables, where every inequality has at most two variables with nonzero coefficient. We denote this…

math.CO2017

On the Existence of Ordinary Triangles

Radoslav Fulek, Hossein Nassajian Mojarrad, Márton Naszódi +3

Let be a finite point set in the plane. A \emph{-ordinary triangle} in is a subset of consisting of three non-collinear points such that each of the three lines dete…

cs.DS2016★ 1 cited

Redundancies in Linear Systems with two Variables per Inequality

Komei Fukuda, May Szedlak

The problem of detecting and removing redundant constraints is fundamental in optimization. We focus on the case of linear programs (LPs), given by variables with inequalit…

cs.CG2015

Random Sampling with Removal

Kenneth L. Clarkson, Bernd Gärtner, Johannes Lengler +1

We study randomized algorithms for constrained optimization, in abstract frameworks that include, in strictly increasing generality: convex programming; LP-type problems; violator…

cs.CG2014★ 1 cited

Combinatorial Redundancy Detection

Komei Fukuda, Bernd Gärtner, May Szedlák

The problem of detecting and removing redundant constraints is fundamental in optimization. We focus on the case of linear programs (LPs) in dictionary form, given by equality…

math.CO2014★ 2 cited

Higher Dimensional Discrete Cheeger Inequalities

Anna Gundert, May Szedlák

For graphs there exists a strong connection between spectral and combinatorial expansion properties. This is expressed, e.g., by the discrete Cheeger inequality, the lower bound of…