Parallel Greedy Spanners

04/18/2023
by   Bernhard Haeupler, et al.
0

A t-spanner of a graph is a subgraph that t-approximates pairwise distances. The greedy algorithm is one of the simplest and most well-studied algorithms for constructing a sparse spanner: it computes a t-spanner with n^1+O(1/t) edges by repeatedly choosing any edge which does not close a cycle of chosen edges with t+1 or fewer edges. We demonstrate that the greedy algorithm computes a t-spanner with t^3·log^3 n · n^1 + O(1/t) edges even when a matching of such edges are added in parallel. In particular, it suffices to repeatedly add any matching where each individual edge does not close a cycle with t +1 or fewer edges but where adding the entire matching might. Our analysis makes use of and illustrates the power of new advances in length-constrained expander decompositions.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/29/2022

Deterministic Distributed Sparse and Ultra-Sparse Spanners and Connectivity Certificates

This paper presents efficient distributed algorithms for a number of fun...
research
03/16/2021

A Hamilton Cycle in the k-Sided Pancake Network

We present a Hamilton cycle in the k-sided pancake network and four comb...
research
01/29/2018

A Method to Compute the Sparse Graphs for Traveling Salesman Problem Based on Frequency Quadrilaterals

In this paper, an iterative algorithm is designed to compute the sparse ...
research
05/30/2018

Graph Sparsification, Spectral Sketches, and Faster Resistance Computation, via Short Cycle Decompositions

We develop a framework for graph sparsification and sketching, based on ...
research
09/15/2022

On the Edges of Characteristic Imset Polytopes

The edges of the characteristic imset polytope, CIM_p, were recently sho...
research
02/12/2021

Edge Minimizing the Student Conflict Graph

In many schools, courses are given in sections. Prior to timetabling stu...
research
01/10/2013

Efficient Stepwise Selection in Decomposable Models

In this paper, we present an efficient way of performing stepwise select...

Please sign up or login with your details

Forgot password? Click here to reset