Recent Advances in Fully Dynamic Graph Algorithms – A Quick Reference Guide

Author:

Hanauer Kathrin1ORCID,Henzinger Monika1ORCID,Schulz Christian2ORCID

Affiliation:

1. Faculty of Computer Science, University of Vienna, Vienna, Austria

2. Heidelberg University, Heidelberg, Baden-Württemberg, Germany

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.

Funder

European Research Council

Austrian Science Fund

netidee SCIENCE Stiftung

Publisher

Association for Computing Machinery (ACM)

Subject

Theoretical Computer Science

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Incremental Computation: What Is the Essence? (Invited Contribution);Proceedings of the 2024 ACM SIGPLAN International Workshop on Partial Evaluation and Program Manipulation;2024-01-11

2. A survey on dynamic graph processing on GPUs: concepts, terminologies and systems;Frontiers of Computer Science;2023-12-16

3. Maximum Flow on Highly Dynamic Graphs;2023 IEEE International Conference on Big Data (BigData);2023-12-15

4. Approximating Edit Distance in the Fully Dynamic Model;2023 IEEE 64th Annual Symposium on Foundations of Computer Science (FOCS);2023-11-06

5. Dynamic Demand-Aware Link Scheduling for Reconfigurable Datacenters;IEEE INFOCOM 2023 - IEEE Conference on Computer Communications;2023-05-17

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