From 0 to 1 Data Structures & Algorithms in Java - Introduction To Shortest Path In An Unweighted Graph - The Distance T

The video tutorial introduces shortest path algorithms, focusing on finding the shortest path between two vertices in a graph by traversing the fewest number of edges. It explains the problem statement, sets up a graph, and analyzes example paths to determine the shortest path. The concept of distance in graphs is discussed, followed by an introduction to the distance table and its relation to the BFS algorithm. The tutorial concludes with a detailed guide on filling the distance table using a specific path example.

How do you determine the last vertex in the path from the source to a specific vertex?

What is the relationship between the distance of a vertex and the last vertex in the path?

What does it mean for a graph to be unweighted, and how does this affect the shortest path algorithm?

Why is it important to focus on the path being generated when using a distance table?