An ear decomposition of a graph

In 1932 Whitney posed the problem that find an ear decomposition of a graph starting with an ear which is a cycle. In 1939 Robbins proved this result for 2-edge connected graphs. In 1986 Laszlo et al. have given an efficient parallel algorithm for constructing ear decomposition of various types of graphs. In this paper, we survey an ear decomposition of several classes of graphs in particular, covering graphs of posets. We will also discuss in detail about the various types of ear decompositions. In the end, we provide a list of some open problems related to ear decomposition of graphs.

Authors

Institutions

Publication Details

Journal
INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH
Published
2024-08-31
DOI
https://doi.org/10.47191/ijmcr/v12i8.07
Primary Topic
graph theory and CDMA systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An ear decomposition of a graph

A. N. Bhavale, S. N. Gajul
INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH
graph theory and CDMA systems
article

An ear decomposition of a graph

A. N. Bhavale, S. N. Gajul
article en

Abstract

In 1932 Whitney posed the problem that find an ear decomposition of a graph starting with an ear which is a cycle. In 1939 Robbins proved this result for 2-edge connected graphs. In 1986 Laszlo et al. have given an efficient parallel algorithm for constructing ear decomposition of various types of graphs. In this paper, we survey an ear decomposition of several classes of graphs in particular, covering graphs of posets. We will also discuss in detail about the various types of ear decompositions. In the end, we provide a list of some open problems related to ear decomposition of graphs.

INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCHVol. 12(08)
G.S. Science, Arts And Commerce College (IN)
Openalex Percentile: Top 88%
graph theory and CDMA systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.