Advantages of Topological Sort

  • Helps in scheduling tasks or events based on dependencies.
  • Detects cycles in a directed graph.
  • Efficient for solving problems with precedence constraints.

Topological Sorting

Topological sorting for Directed Acyclic Graph (DAG) is a linear ordering of vertices such that for every directed edge u-v, vertex u comes before v in the ordering.

Note: Topological Sorting for a graph is not possible if the graph is not a DAG.

Example:

Input: Graph :

Example

Output: 5 4 2 3 1 0
Explanation: The first vertex in topological sorting is always a vertex with an in-degree of 0 (a vertex with no incoming edges).  A topological sorting of the following graph is “5 4 2 3 1 0”. There can be more than one topological sorting for a graph. Another topological sorting of the following graph is “4 5 2 3 1 0”.

Recommended Practice
Topological sort
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Advantages of Topological Sort:

Helps in scheduling tasks or events based on dependencies.Detects cycles in a directed graph.Efficient for solving problems with precedence constraints....

Disadvantages of Topological Sort:

Only applicable to directed acyclic graphs (DAGs), not suitable for cyclic graphs.May not be unique, multiple valid topological orderings can exist.Inefficient for large graphs with many nodes and edges....

Applications of Topological Sort:

Task scheduling and project management.Dependency resolution in package management systems.Determining the order of compilation in software build systems.Deadlock detection in operating systems.Course scheduling in universities....

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