Approximating Min-Diameter: Standard and Bichromatic
Aaron Berger, Jenny Kaufmann, Virginia Vassilevska Williams

TL;DR
This paper introduces new approximation algorithms for the min-diameter problem in DAGs and general directed graphs, establishing tight bounds under SETH, and explores the first approximation study for bichromatic min-diameter.
Contribution
It provides the first near-3/2-approximation algorithms for min-diameter in DAGs with tight bounds and introduces the first approximation analysis for bichromatic min-diameter.
Findings
Achieved a $3/2$-approximation in DAGs with $O(m^{1.426}n^{0.288})$ time.
Established a conditional lower bound preventing better than $3/2$-approximation in subquadratic time.
Presented the first study on approximating bichromatic min-diameter.
Abstract
The min-diameter of a directed graph is a measure of the largest distance between nodes. It is equal to the maximum min-distance across all pairs , where . Our work provides a -time -approximation algorithm for min-diameter in DAGs, and a faster -time almost--approximation variant. (An almost--approximation algorithm determines the min-diameter to within a multiplicative factor of plus constant additive error.) By a conditional lower bound result of [Abboud et al, SODA 2016], a better than -approximation can't be achieved in truly subquadratic time under the Strong Exponential Time Hypothesis (SETH), so our result is conditionally tight. We additionally obtain a new conditional lower bound for min-diameter approximation in general directed graphs,…
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