{"title":"Efficient constructions of convex combinations for 2-edge-connected subgraphs on fundamental classes","authors":"Arash Haddadan , Alantha Newman","doi":"10.1016/j.disopt.2021.100659","DOIUrl":null,"url":null,"abstract":"<div><p>We present coloring-based algorithms for tree augmentation and use them to construct convex combinations of 2-edge-connected subgraphs. This classic tool has been applied previously to the problem, but our algorithms illustrate its flexibility, which – in coordination with the choice of spanning tree – can be used to obtain various properties (e.g., 2-vertex connectivity) that are useful in our applications.</p><p><span>We use these coloring algorithms to design approximation algorithms for the 2-edge-connected multigraph problem (2ECM) and the 2-edge-connected spanning subgraph problem (2ECS) on two well-studied types of LP solutions. The first type of points, half-integer square points, belong to a class of </span><em>fundamental extreme points</em>, which exhibit the same integrality gap as the general case. For half-integer square points, the integrality gap for 2ECM is known to be between <span><math><mfrac><mrow><mn>6</mn></mrow><mrow><mn>5</mn></mrow></mfrac></math></span> and <span><math><mfrac><mrow><mn>4</mn></mrow><mrow><mn>3</mn></mrow></mfrac></math></span>. We improve the upper bound to <span><math><mfrac><mrow><mn>9</mn></mrow><mrow><mn>7</mn></mrow></mfrac></math></span>. The second type of points we study are <em>uniform points</em> whose support is a 3-edge-connected graph and each entry is <span><math><mfrac><mrow><mn>2</mn></mrow><mrow><mn>3</mn></mrow></mfrac></math></span>. Although the best-known upper bound on the integrality gap of 2ECS for these points is less than <span><math><mfrac><mrow><mn>4</mn></mrow><mrow><mn>3</mn></mrow></mfrac></math></span>, previous results do not yield an efficient algorithm. We give the first approximation algorithm for 2ECS with ratio below <span><math><mfrac><mrow><mn>4</mn></mrow><mrow><mn>3</mn></mrow></mfrac></math></span> for this class of points.</p></div>","PeriodicalId":50571,"journal":{"name":"Discrete Optimization","volume":"42 ","pages":"Article 100659"},"PeriodicalIF":0.9000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.disopt.2021.100659","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Discrete Optimization","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1572528621000384","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 6
Abstract
We present coloring-based algorithms for tree augmentation and use them to construct convex combinations of 2-edge-connected subgraphs. This classic tool has been applied previously to the problem, but our algorithms illustrate its flexibility, which – in coordination with the choice of spanning tree – can be used to obtain various properties (e.g., 2-vertex connectivity) that are useful in our applications.
We use these coloring algorithms to design approximation algorithms for the 2-edge-connected multigraph problem (2ECM) and the 2-edge-connected spanning subgraph problem (2ECS) on two well-studied types of LP solutions. The first type of points, half-integer square points, belong to a class of fundamental extreme points, which exhibit the same integrality gap as the general case. For half-integer square points, the integrality gap for 2ECM is known to be between and . We improve the upper bound to . The second type of points we study are uniform points whose support is a 3-edge-connected graph and each entry is . Although the best-known upper bound on the integrality gap of 2ECS for these points is less than , previous results do not yield an efficient algorithm. We give the first approximation algorithm for 2ECS with ratio below for this class of points.
期刊介绍:
Discrete Optimization publishes research papers on the mathematical, computational and applied aspects of all areas of integer programming and combinatorial optimization. In addition to reports on mathematical results pertinent to discrete optimization, the journal welcomes submissions on algorithmic developments, computational experiments, and novel applications (in particular, large-scale and real-time applications). The journal also publishes clearly labelled surveys, reviews, short notes, and open problems. Manuscripts submitted for possible publication to Discrete Optimization should report on original research, should not have been previously published, and should not be under consideration for publication by any other journal.