arXiv Open Access 2020

Dynamic Matching Algorithms in Practice

Monika Henzinger Shahbaz Khan Richard Paul Christian Schulz

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Abstrak

In recent years, significant advances have been made in the design and analysis of fully dynamic maximal matching 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. In this paper, we attempt to bridge the gap between theory and practice that is currently observed for the fully dynamic maximal matching problem. We engineer several algorithms and empirically study those algorithms on an extensive set of dynamic instances.

Topik & Kata Kunci

cs.DS

Penulis (4)

Monika Henzinger

Shahbaz Khan

Richard Paul

Christian Schulz

Format Sitasi

APA MLA BibTeX

Henzinger, M., Khan, S., Paul, R., Schulz, C. (2020). Dynamic Matching Algorithms in Practice. https://arxiv.org/abs/2004.09099

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓