# Exact and approximate digraph bandwidth

Pallavi Jain, Lawqueen Kanesh, William Lochet, Saket Saurabh, Roohani Sharma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

## Abstract

In this paper, we introduce a directed variant of the classical Bandwidth problem and study it from the view-point of moderately exponential time algorithms, both exactly and approximately. Motivated by the definitions of the directed variants of the classical Cutwidth and Pathwidth problems, we define Digraph Bandwidth as follows. Given a digraph D and an ordering σ of its vertices, the digraph bandwidth of σ with respect to D is equal to the maximum value of σ(v)−σ(u) over all arcs (u, v) of D going forward along σ (that is, when σ(u) < σ(v)). The Digraph Bandwidth problem takes as input a digraph D and asks to output an ordering with the minimum digraph bandwidth. The undirected Bandwidth easily reduces to Digraph Bandwidth and thus, it immediately implies that Directed Bandwidth is NP-hard. While an O?(n!)1 time algorithm for the problem is trivial, the goal of this paper is to design algorithms for Digraph Bandwidth which have running times of the form 2O(n). In particular, we obtain the following results. Here, n and m denote the number of vertices and arcs of the input digraph D, respectively. Digraph Bandwidth can be solved in O?(3n · 2m) time. This result implies a 2O(n) time algorithm on sparse graphs, such as graphs of bounded average degree. Let G be the underlying undirected graph of the input digraph. If the treewidth of G is at most t, then Digraph Bandwidth can be solved in time O?(2n+(t+2) log n). This result implies a 2n+O(√n log n) algorithm for directed planar graphs and, in general, for the class of digraphs whose underlying undirected graph excludes some fixed graph H as a minor. Digraph Bandwidth can be solved in min{O(4n · bn), O(4n · 2b log b log n)} time, where b denotes the optimal digraph bandwidth of D. This allow us to deduce a 2O(n) algorithm in many cases, for example when b ≤ log2 n. n Finally, we give a (Single) Exponential Time Approximation Scheme for Digraph Bandwidth. In particular, we show that for any fixed real ε > 0, we can find an ordering whose digraph bandwidth is at most (1 + ε) times the optimal digraph bandwidth, in time O(4n · (d4/εe)n).

Original language English 39th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, FSTTCS 2019 Arkadev Chattopadhyay, Paul Gastin Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing 9783959771313 https://doi.org/10.4230/LIPIcs.FSTTCS.2019.18 Published - 1 Dec 2019 39th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, FSTTCS 2019 - Bombay, IndiaDuration: 11 Dec 2019 → 13 Dec 2019

### Publication series

Name Leibniz International Proceedings in Informatics, LIPIcs 150 1868-8969

### Conference

Conference 39th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, FSTTCS 2019 India Bombay 11/12/19 → 13/12/19

## Keywords

• Approximation scheme
• Digraph bandwidth
• Directed bandwidth
• Exact exponential algorithms

• Software

## Fingerprint

Dive into the research topics of 'Exact and approximate digraph bandwidth'. Together they form a unique fingerprint.