English

Improved bicriteria approximation for $k$-edge-connectivity

Data Structures and Algorithms 2025-07-22 v2

Abstract

In the kk-Edge Connected Spanning Subgraph (kk-ECSS) problem we are given a (multi-)graph G=(V,E)G=(V,E) with edge costs and an integer kk, and seek a min-cost kk-edge-connected spanning subgraph of GG. The problem admits a 22-approximation algorithm and no better approximation ratio is known. Hershkowitz, Klein, and Zenklusen [STOC 24] gave a bicriteria (1,k10)(1,k-10)-approximation algorithm that computes a (k10)(k-10)-edge-connected spanning subgraph of cost at most the optimal value of a standard Cut-LP for kk-ECSS. This LP bicriteria approximation was recently improved by Cohen and Nutov [ESA 25] to (1,k4)(1,k-4), where also was given a bicriteria approximation (3/2,k2)(3/2,k-2). In this paper we improve the bicriteria approximation to (1,k2)(1,k-2) for kk even and to (11k,k3)\left(1-\frac{1}{k},k-3\right) for kk is odd, and also give another bicriteria approximation (3/2,k1)(3/2,k-1). After this paper was written, we became aware that the same result was achieved earlier by Kumar and Swamy. The kk-Edge-Connected Spanning Multi-subgraph (kk-ECSM) problem is almost the same as kk-ECSS, except that any edge can be selected multiple times at the same cost. The previous best approximation ratio for kk-ECSM was 1+4/k1+4/k. Our result improves this to 1+2k1+\frac{2}{k} for kk even and to 1+3k1+\frac{3}{k} for kk odd, where for kk odd the computed subgraph is in fact (k+1)(k+1)-edge-connected.

Keywords

Cite

@article{arxiv.2507.10125,
  title  = {Improved bicriteria approximation for $k$-edge-connectivity},
  author = {Zeev Nutov},
  journal= {arXiv preprint arXiv:2507.10125},
  year   = {2025}
}

Comments

arXiv admin note: substantial text overlap with arXiv:2507.03786

R2 v1 2026-07-01T03:59:33.115Z