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Mathematical Programming
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https://dx.doi.org/10.48550/ar...
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The matching augmentation problem: a $$\frac{7}{4}$$-approximation algorithm

The matching augmentation problem: a \(\frac{7}{4}\)-approximation algorithm
Authors: J. Cheriyan; J. Dippel; F. Grandoni; A. Khan; V. V. Narayan;

The matching augmentation problem: a $$\frac{7}{4}$$-approximation algorithm

Abstract

We present a $\frac74$ approximation algorithm for the matching augmentation problem (MAP): given a multi-graph with edges of cost either zero or one such that the edges of cost zero form a matching, find a 2-edge connected spanning subgraph (2-ECSS) of minimum cost. We first present a reduction of any given MAP instance to a collection of well-structured MAP instances such that the approximation guarantee is preserved. Then we present a $\frac74$ approximation algorithm for a well-structured MAP instance. The algorithm starts with a min-cost 2-edge cover and then applies ear-augmentation steps. We analyze the cost of the ear-augmentations using an approach similar to the one proposed by Vempala and Vetta for the (unweighted) min-size 2-ECSS problem (`Factor 4/3 approximations for minimum 2-connected subgraphs,' APPROX 2000, LNCS 1913, pp.262-273).

[v2]: based on a thorough journal review, the submission has been revised to improve the exposition, though the results and proofs are the same (modulo expository improvements); there are several changes, mostly in sections 4, 5, 6; more informal discussion (of the credit scheme) has been added in sections 5.2 and 5.3; nevertheless, sections 4.4 and 5.3 need patience and effort

Keywords

FOS: Computer and information sciences, connectivity augmentation, 68W25, 90C59, 90C27, 68R10, 05C85, 2-edge connected graph, network design, forest augmentation problem, Programming involving graphs or networks, Approximation methods and heuristics in mathematical programming, matching augmentation problem, Approximation algorithms, bridges, Graph algorithms (graph-theoretic aspects), Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), approximation algorithms, 2-edge covers

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
Green
bronze