On the Integrality Gap of Directed Steiner Tree LPs with Relatively Integral Solutions
Bundit Laekhanukit

TL;DR
This paper introduces a flow-based LP relaxation for the Directed Steiner Tree problem that has a polylogarithmic integrality gap under a specific relative integral condition, advancing understanding of its approximability.
Contribution
The paper presents a new LP relaxation with a polylogarithmic integrality gap for DST under the relative integral condition, and provides a randomized algorithm achieving an $O( ext{log}^3 k)$-approximation.
Findings
LP relaxation with polylogarithmic integrality gap under relative integral solutions
Contrasts with standard relaxations that have polynomial gaps
Provides an $O( ext{log}^3 k)$-approximation algorithm
Abstract
The Directed Steiner Tree (DST) problem is defined on a directed graph , where we are given a designated root vertex and a set of terminals . The goal is to find a minimum-cost subgraph that provides directed paths for all terminals . The approximability of DST has long been a central open problem in network design. While there exist polylogarithmic-approximation algorithms with quasi-polynomial running times (Charikar et al. 1998; Grandoni, Laekhanukit, and Li 2019; Ghuge and Nagarajan 2020), the best known polynomial-time approximation until now has remained at , for any constant . Whether a polynomial-time algorithm achieving a polylogarithmic approximation exists has remained unresolved. In this paper, we present a flow-based LP-relaxation for DST that admits a polylogarithmic…
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Taxonomy
TopicsAlgorithms and Data Compression · semigroups and automata theory · Formal Methods in Verification
