Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Rank and Acyclic Graphs - 0-1 Incidence Matrix and Characterization of Bipartite Graphs

NPTEL-NOC IITM via YouTube

Overview

Coursera Spring Sale
40% Off Coursera Plus Annual!
Grab it
Explore the mathematical relationship between matrix rank and graph properties in this 26-minute lecture that examines how the number of independent columns in an incidence matrix determines whether a graph is acyclic. Learn to define and work with (0-1) incidence matrices while discovering how the rank of these matrices provides a powerful characterization method for identifying bipartite graphs. Master the theoretical foundations connecting linear algebra concepts to graph theory through detailed analysis of incidence matrix properties and their applications in determining fundamental graph characteristics.

Syllabus

Rank and acyclic graphs, 0-1 incidence matrix and characterization of bipartite graph

Taught by

NPTEL-NOC IITM

Reviews

Start your review of Rank and Acyclic Graphs - 0-1 Incidence Matrix and Characterization of Bipartite Graphs

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.