Monday, December 19, 2022 - 11:00 to 13:00
SCHOOL OF COMPUTER SCIENCE
The School of Computer Science is pleased to present…
MSc Thesis Defense by: Daniel John
Date: Monday December 19, 2022
Time: 11:00 AM – 1:00 PM
Location: Essex Hall, Room 105
Reminders: Two-part attendance mandatory, arrive 5-10 minutes prior to event starting - LATECOMERS WILL NOT BE ADMITTED once the door has been closed and the presentation has begun. Please be respectful of the presenter by NOT knocking on the door for admittance.
Abstract:
A graph is a structure consisting of a set of vertices and edges. Graph construction has been a focus of research for a long time, and generating graphs has proven helpful in complex networks and artificial intelligence.
A significant problem that has been a focus of research is whether a given sequence of integers is graphical. Havel and Hakimi stated necessary and sufficient conditions for a degree sequence to be graphic with different properties. In our work, we have proved the sufficiency of the requirements by generating algorithms and providing constructive proof.
Given a degree sequence, one crucial problem is checking if there is a graph realization with k-factors. For the degree sequence with a realizable k-factor, we analyze an algorithm that produces the realization and its k-factor. We then generate degree sequences having no realizations with connected k-factors. We also state the conditions for a degree sequence to have connected k-factors.
In our work, we have also studied the necessary and sufficient conditions for a sequence of integer pairs to be realized as directed graphs. We have proved the sufficiency of the conditions by providing algorithms as constructive proofs for the directed graphs
Keywords: Graph realization, k-factor, degree sequence, directed graphs, undirected graphs
MSc Thesis Committee:
Internal Reader: Dr. Ahmad Biniaz
External Reader: Dr. Mehdi Sangani Monfared
Advisor: Dr. Asish Mukhopadhyay
Chair: Dr. Jessica Chen
MSc Thesis Defense Announcement
5113 Lambton Tower 401 Sunset Ave. Windsor ON, N9B 3P4 (519) 253-3000 Ext. 3716 csgradinfo@uwindsor.ca