Approximating (Unweighted) Tree Augmentation via Lift-and-Project (Part 0: $1.8+ε$ approximation for (Unweighted) TAP)

نویسندگان

  • Joseph Cheriyan
  • Zhihan Gao
چکیده

We study the unweighted Tree Augmentation Problem (TAP) via the Lasserre (Sum of Squares) system. We prove an approximation guarantee of (1.8 + ) relative to an SDP relaxation, which matches the combinatorial approximation guarantee of Even, Feldman, Kortsarz and Nutov in ACM TALG (2009), where > 0 is a constant. We generalize the combinatorial analysis of integral solutions of Even, et al., to fractional solutions by identifying some properties of fractional solutions of the Lasserre system via the decomposition result of Rothvoß (arXiv:1111.5473, 2011) and Karlin, Mathieu and Nguyen (IPCO 2011). This is a manuscript from July 2014 that was widely circulated but was not posted on the web. It is being posted for the sake of archiving/referencing. The results have been subsumed by arXiv:1507.01309, our manuscript from July 2015, that proves an approximation guarantee of (1.5 + ) for (unweighted) TAP via a relaxation. The presentation of the weaker result here may be of interest because it is significantly shorter and simpler than arXiv:1507.01309. To the best of our knowledge, this was the earliest manuscript to prove an upper-bound less than 2 for the integrality ratio for a relaxation of TAP. (Although approximation guarantees less than 2 for (unweighted) TAP had been published earlier, those guarantees were proved w.r.t. an integral optimal solution and not w.r.t. a relaxation.) The original manuscript also had a proof of a (1.75 + ) approximation guarantee but that part has been omitted because the details are difficult; that result has been subsumed by arXiv:1507.01309. All our results use the same relaxation, namely, a Lasserre tightening of a simple LP relaxation. ar X iv :1 60 4. 00 70 8v 1 [ cs .D S] 4 A pr 2 01 6 APPROXIMATING (UNWEIGHTED) TREE AUGMENTATION VIA LIFT-AND-PROJECT JOSEPH CHERIYAN AND ZHIHAN GAO Abstract. We study the unweighted Tree Augmentation Problem (TAP) via the Lasserre (Sum of Squares) system. We prove an approximation guarantee of (1.8 + ) relative to an SDP relaxation, which matches the combinatorial approximation guarantee of Even, Feldman, Kortsarz and Nutov in ACM TALG (2009), where > 0 is a constant. We generalize the combinatorial analysis of integral solutions of Even, et al., to fractional solutions by identifying some properties of fractional solutions of the Lasserre system via the decomposition result of Rothvoß (arXiv:1111.5473, 2011) and Karlin, Mathieu and Nguyen (IPCO 2011). We study the unweighted Tree Augmentation Problem (TAP) via the Lasserre (Sum of Squares) system. We prove an approximation guarantee of (1.8 + ) relative to an SDP relaxation, which matches the combinatorial approximation guarantee of Even, Feldman, Kortsarz and Nutov in ACM TALG (2009), where > 0 is a constant. We generalize the combinatorial analysis of integral solutions of Even, et al., to fractional solutions by identifying some properties of fractional solutions of the Lasserre system via the decomposition result of Rothvoß (arXiv:1111.5473, 2011) and Karlin, Mathieu and Nguyen (IPCO 2011).

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A $\frac{3}{2}$-Approximation Algorithm for Tree Augmentation via Chv\'atal-Gomory Cuts

The weighted tree augmentation problem (WTAP) is a fundamental network design problem. We are given an undirected tree G = (V,E), an additional set of edges L called links and a cost vector c ∈ RL≥1. The goal is to choose a minimum cost subset S ⊆ L such that G = (V,E ∪ S) is 2-edge-connected. In the unweighted case, that is, when we have cl = 1 for all l ∈ L, the problem is called the tree aug...

متن کامل

Approximation Algorithms for Path TSP, ATSP, and TAP via Relaxations

Linear programming (LP) relaxations provide a powerful technique to design approximation algorithms for combinatorial optimization problems. In the first part of the thesis, we study the metric s-t path Traveling Salesman Problem (TSP) via LP relaxations. We first consider the s-t path graph-TSP, a critical special case of the metric s-t path TSP. We design a new simple LP-based algorithm for t...

متن کامل

Coloring Down: $3/2$-approximation for special cases of the weighted tree augmentation problem

In this paper, we investigate the weighted tree augmentation problem (TAP), where the goal is to augment a tree with a minimum cost set of edges such that the graph becomes two edge connected. First we show that in weighted TAP, we can restrict our attention to trees which are binary and where all the non-tree edges go between two leaves of the tree. We then give two different top-down coloring...

متن کامل

Fast Distributed Approximation for TAP and 2-Edge-Connectivity

The tree augmentation problem (TAP) is a fundamental network design problem, in which the input is a graph G and a spanning tree T for it, and the goal is to augment T with a minimum set of edges Aug from G, such that T ∪Aug is 2-edge-connected. TAP has been widely studied in the sequential setting. The best known approximation ratio of 2 for the weighted case dates back to the work of Frederic...

متن کامل

Distance Approximating Trees: Complexity and Algorithms

Let Δ ≥ 1 and δ ≥ 0 be real numbers. A tree T = (V,E′) is a distance (Δ, δ)–approximating tree of a graph G = (V,E) if dH(u, v) ≤ Δ dG(u, v) + δ and dG(u, v) ≤ Δ dH(u, v) + δ hold for every u, v ∈ V . The distance (Δ, δ)-approximating tree problem asks for a given graph G to decide whether G has a distance (Δ, δ)-approximating tree. In this paper, we consider unweighted graphs and show that the...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • CoRR

دوره abs/1604.00708  شماره 

صفحات  -

تاریخ انتشار 2016