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Recent Advances in Fully Dynamic Graph Algorithms (Invited Talk)

Authors Kathrin Hanauer , Monika Henzinger , Christian Schulz

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Kathrin Hanauer
  • Faculty of Computer Science, Universität Wien, Austria
Monika Henzinger
  • Faculty of Computer Science, Universität Wien, Austria
Christian Schulz
  • Faculty of Mathematics and Computer Science, Universität Heidelberg, Germany

Funding

This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 101019564, "The Design of Modern Fully Dynamic Data Structures (MoDynStruct)"), as well as from the Austrian Science Fund (FWF) and netIDEE SCIENCE project P 33775-N. Moreover, we have been partially supported by DFG grant SCHU 2567/1-2.

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Kathrin Hanauer, Monika Henzinger, and Christian Schulz. Recent Advances in Fully Dynamic Graph Algorithms (Invited Talk). In 1st Symposium on Algorithmic Foundations of Dynamic Networks (SAND 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 221, pp. 1:1-1:47, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2022)
https://doi.org/10.4230/LIPIcs.SAND.2022.1

Abstract

In recent years, significant advances have been made in the design and analysis of fully dynamic algorithms. However, these theoretical results have received very little attention from the practical perspective. Few of the algorithms are implemented and tested on real datasets, and their practical potential is far from understood. Here, we present a quick reference guide to recent engineering and theory results in the area of fully dynamic graph algorithms.

Subject Classification

ACM Subject Classification
  • General and reference → Surveys and overviews
  • Networks → Network dynamics
  • Mathematics of computing → Graph algorithms
Keywords
  • fully dynamic graph algorithms
  • survey

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