Degree Realization by Bipartite Cactus Graphs

Amotz Bar-Noy, Toni Böhnlein, David Peleg, Yingli Ran, Dror Rawitz

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

Abstract

The Degree Realization problem with respect to a graph family F is defined as follows. The input is a sequence d of n positive integers, and the goal is to decide whether there exists a graph G∈F whose degrees correspond to d. The main challenges are to provide a precise characterization of all the sequences that admit a realization in F and to design efficient algorithms that construct one of the possible realizations, if one exists. This paper studies the problem of realizing degree sequences by bipartite cactus graphs (where the input is given as a single sequence, without the bi-partition). A characterization of the sequences that have a cactus realization is already known [30]. In this paper, we provide a systematic way to obtain such a characterization, accompanied by a realization algorithm. This allows us to derive a characterization for bipartite cactus graphs, and as a byproduct, also for several other interesting sub-families of cactus graphs, including bridge-less cactus graphs and core cactus graphs, as well as for the bipartite sub-families of these families.

Original languageEnglish
Title of host publicationAlgorithms and Complexity - 14th International Conference, CIAC 2025, Proceedings
EditorsIrene Finocchi, Loukas Georgiadis
PublisherSpringer Science and Business Media Deutschland GmbH
Pages258-275
Number of pages18
ISBN (Print)9783031929311
DOIs
StatePublished - 2025
Event14th International Conference on Algorithms and Complexity, CIAC 2025 - Rome, Italy
Duration: 10 Jun 202512 Jun 2025

Publication series

NameLecture Notes in Computer Science
Volume15679 LNCS

Conference

Conference14th International Conference on Algorithms and Complexity, CIAC 2025
Country/TerritoryItaly
CityRome
Period10/06/2512/06/25

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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