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Fast Approximation Algorithms for Bounded Degree and Crossing Spanning Tree Problems

Authors Chandra Chekuri, Kent Quanrud, Manuel R. Torres

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Author Details

Chandra Chekuri
  • University of Illinois at Urbana-Champaign, IL, USA
Kent Quanrud
  • Purdue University, West Lafayette, IN, USA
Manuel R. Torres
  • University of Illinois at Urbana-Champaign, IL, USA

Funding

  • Chekuri, Chandra: Supported in part by NSF grant CCF-1910149.
  • Torres, Manuel R.: Supported in part by fellowships from NSF and the Sloan Foundation, and NSF grant CCF-1910149.

Cite AsGet BibTex

Chandra Chekuri, Kent Quanrud, and Manuel R. Torres. Fast Approximation Algorithms for Bounded Degree and Crossing Spanning Tree Problems. In Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 207, pp. 24:1-24:21, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)
https://doi.org/10.4230/LIPIcs.APPROX/RANDOM.2021.24

Abstract

We develop fast approximation algorithms for the minimum-cost version of the Bounded-Degree MST problem (BD-MST) and its generalization the Crossing Spanning Tree problem (Crossing-ST). We solve the underlying LP to within a (1+ε) approximation factor in near-linear time via the multiplicative weight update (MWU) technique. This yields, in particular, a near-linear time algorithm that outputs an estimate B such that B ≤ B^* ≤ ⌈(1+ε)B⌉+1 where B^* is the minimum-degree of a spanning tree of a given graph. To round the fractional solution, in our main technical contribution, we describe a fast near-linear time implementation of swap-rounding in the spanning tree polytope of a graph. The fractional solution can also be used to sparsify the input graph that can in turn be used to speed up existing combinatorial algorithms. Together, these ideas lead to significantly faster approximation algorithms than known before for the two problems of interest. In addition, a fast algorithm for swap rounding in the graphic matroid is a generic tool that has other applications, including to TSP and submodular function maximization.

Subject Classification

ACM Subject Classification
  • Theory of computation → Approximation algorithms analysis
  • Theory of computation → Graph algorithms analysis
Keywords
  • bounded degree spanning tree
  • crossing spanning tree
  • swap rounding
  • fast approximation algorithms

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