From 0 to 1 Data Structures & Algorithms in Java - Topological Sort In A Graph

The video tutorial introduces graph algorithms, focusing on topological sort. It explains the concept of topological sort as an ordering of vertices in a directed acyclic graph, where each node precedes nodes it has outgoing edges to. The tutorial provides a detailed walkthrough of the topological sort algorithm, emphasizing the importance of in-degree and the conditions for a valid topological sort. The complexity of the algorithm is discussed, and practical examples are used to illustrate the process.

What is a topological sort and when is it used?

Provide an example of a simple graph and explain how to perform a topological sort on it.

What conditions must be satisfied for a valid topological sort?

Discuss the implications of having multiple valid topological sorts for a graph.

Describe the process of performing a topological sort on a directed acyclic graph.

Explain the significance of in-degree in the context of topological sorting.

How does the presence of cycles in a graph affect the possibility of a topological sort?

What are the steps to identify the next vertex with in-degree 0 during a topological sort?

What is the time complexity of the topological sort algorithm?

What is the relationship between topological sorting and task scheduling?