Constant-time local computation algorithms

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

Abstract

Local computation algorithms (LCAs) produce small parts of a single solution to a given search problem using time and space sublinear in the size of the input. In this work we present LCAs whose time complexity (and usually also space complexity) is independent of the input size. Specifically, we give (1) a (1 – ε)-approximation LCA to the maximal weighted base of a graphic matroid (i.e., maximal acyclic edge set), (2) LCAs for approximating multicut and integer multicommodity flow on trees, and (3) a local reduction of weighted matching to any unweighted matching LCA, such that the running time of the weighted matching LCA is also independent of the edge weight function.

Original languageEnglish
Title of host publicationApproximation and Online Algorithms - 13th International Workshop, WAOA 2015, Revised Selected Papers
EditorsMartin Skutella, Laura Sanità
PublisherSpringer Verlag
Pages110-121
Number of pages12
ISBN (Print)9783319286839
DOIs
StatePublished - 2015
Event13th International Workshop on Approximation and Online Algorithms, WAOA 2015 - Patras, Greece
Duration: 17 Sep 201518 Sep 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9499

Conference

Conference13th International Workshop on Approximation and Online Algorithms, WAOA 2015
Country/TerritoryGreece
CityPatras
Period17/09/1518/09/15

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

Fingerprint

Dive into the research topics of 'Constant-time local computation algorithms'. Together they form a unique fingerprint.

Cite this