From 0 to 1 Data Structures & Algorithms in Java - Implementation Of The Shortest Path In An Unweighted Graph

The video tutorial explains how to use Breadth First Search (BFS) to create a distance table for finding the shortest path in an unweighted graph. It introduces the distance info data structure, which stores the distance and last vertex for each vertex. The tutorial details the process of building the distance table by initializing it for each vertex and using BFS to explore and update the table. Finally, it describes the shortest path algorithm, which involves backtracking from the destination to the source using a stack to trace the path.

Explain the process of tracing back the path from the destination to the source node.

What happens if the last vertex entry in the distance table is minus one?

How do we print out the shortest path from the source to the destination?