A Simple 1.5-Approximation Algorithm for a Wide Range of Max-SMTI Problems

Gergely Csáji
4/5/2023
cs.DScs.DMcs.GT

No confident code implementation found for this paper. 3 possible matches can be shown below.

Abstract

We give a simple approximation algorithm for a common generalization of many previously studied extensions of the maximum size stable matching problem with ties. These generalizations include the existence of critical vertices in the graph, amongst whom we must match as much as possible, free edges, that cannot be blocking edges and $Δ$-stabilities, which mean that for an edge to block, the improvement should be large enough on one or both sides. We also introduce other notions to generalize these even further, which allows our framework to capture many existing and future applications. We show that the edge duplicating technique allows us to treat these different types of generalizations simultaneously, while also making the algorithm, the proofs and the analysis much simpler and shorter than in previous approaches. In particular, we answer an open question by Askalidis et al. (2013) about the existence of a $\frac{3}{2}$-approximation algorithm for the MAX-SMTI problem with free edges. This demonstrates that this technique can grasp the underlying essence of these problems quite well and have the potential to be able to solve many future applications.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 3 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{csji2023simple,
  title  = {A Simple 1.5-Approximation Algorithm for a Wide Range of Max-SMTI Problems},
  author = {Gergely Csáji},
  year   = {2023},
  eprint = {2304.02558},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2304.02558v3}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2304.02558.svg)](https://codeofpaper.com/paper/2304.02558)

Discussion