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A $4/3$ ratio approximation algorithm for the Tree Augmentation Problem by deferred local-ratio and climbing

Guy Kortsarz

TL;DR

This work studies the Tree Augmentation Problem (TAP), seeking a minimum-size set of links to make a tree 2-edge-connected. It introduces a novel deferred local-ratio technique tailored to unweighted Set Cover, augmented by shadow sets, climbing rungs, and a golden-ticket framework, to achieve a $4/3$-approximation in time $O(m\cdot\sqrt{n})$, improving upon the prior $1.393$-approximation and avoiding LP-based enumerations. The approach centers on iteratively covering semi-closed subtrees via a basic cover and a carefully maintained credit system, with a main lemma ensuring a local-ratio or extra-credit step that guarantees the global bound. The technique and its analysis are potentially applicable to broader Set Cover-like structures, offering a new tool for tight combinatorial approximations in network augmentation problems.

Abstract

The \emph{Tree Augmentation Problem (TAP)} is given a tree $T=(V,E_T)$ and additional set of {\em links} $E$ on $V\times V$, find $F \subseteq E$ such that $T \cup F$ is $2$-edge-connected, and $|F|$ is minimum. The problem is APX-hard \cite{r} even in if links are only between leaves \cite{r}. The best known approximation ratio for TAP is $1.393$, due to Traub and Zenklusen~\cite{tr1} J.~ACM,~2025 using the {\em relative greedy} technique \cite{zel}. \noindent We introduce a new technique called the {\em deferred local ratio technique}. In this technique, the disjointness of the local-ratio primal-dual type does not hold. The technique applies Set Cover problem under certain conditions (see Section \ref{lr}). We use it provide a We use it to provide a $4/3$ approximation algorithm for TAP. It is possible this technique will find future applications. The running time is The running time is $O(m\cdot\sqrt{n})$ time \cite{vaz}, \cite{vaz1}. Faster than \cite{tr1} \cite{LS} and LP based algorithms as we do not enumeratestructures of size $exp(Θ(f(1/ε)\cdot \log n)).$ Nor do we scale and round. \noindent \cite{ed} has an implementation \cite{kol} that is extensively used in the industry.

A $4/3$ ratio approximation algorithm for the Tree Augmentation Problem by deferred local-ratio and climbing

TL;DR

This work studies the Tree Augmentation Problem (TAP), seeking a minimum-size set of links to make a tree 2-edge-connected. It introduces a novel deferred local-ratio technique tailored to unweighted Set Cover, augmented by shadow sets, climbing rungs, and a golden-ticket framework, to achieve a -approximation in time , improving upon the prior -approximation and avoiding LP-based enumerations. The approach centers on iteratively covering semi-closed subtrees via a basic cover and a carefully maintained credit system, with a main lemma ensuring a local-ratio or extra-credit step that guarantees the global bound. The technique and its analysis are potentially applicable to broader Set Cover-like structures, offering a new tool for tight combinatorial approximations in network augmentation problems.

Abstract

The \emph{Tree Augmentation Problem (TAP)} is given a tree and additional set of {\em links} on , find such that is -edge-connected, and is minimum. The problem is APX-hard \cite{r} even in if links are only between leaves \cite{r}. The best known approximation ratio for TAP is , due to Traub and Zenklusen~\cite{tr1} J.~ACM,~2025 using the {\em relative greedy} technique \cite{zel}. \noindent We introduce a new technique called the {\em deferred local ratio technique}. In this technique, the disjointness of the local-ratio primal-dual type does not hold. The technique applies Set Cover problem under certain conditions (see Section \ref{lr}). We use it provide a We use it to provide a approximation algorithm for TAP. It is possible this technique will find future applications. The running time is The running time is time \cite{vaz}, \cite{vaz1}. Faster than \cite{tr1} \cite{LS} and LP based algorithms as we do not enumeratestructures of size Nor do we scale and round. \noindent \cite{ed} has an implementation \cite{kol} that is extensively used in the industry.
Paper Structure (17 sections, 5 theorems, 1 equation, 4 figures)

This paper contains 17 sections, 5 theorems, 1 equation, 4 figures.

Key Result

Theorem 1

TAP admits a $4/3$-ratio algorithm whose running time is $O(m\cdot \sqrt{n})$, with $n$ the number of nodes and $m$ the number of links.

Figures (4)

  • Figure 1: Climbing Rungs
  • Figure 2: Semi-closed trees. An illustration
  • Figure 3: The next $T_w$ that contains $T_v$ as a leaf is $T_v$-closed.
  • Figure 4: The different golden ticket links

Theorems & Definitions (52)

  • Theorem 1
  • Definition 2
  • Definition 3
  • Definition 4
  • Claim 5
  • Definition 6
  • Definition 7
  • Definition 8
  • Corollary 8.1
  • proof
  • ...and 42 more