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Programming with Python:  v Implement Depth First Search (Traversal)  v Implement Breadth First Traversal For the implementation:   1. Create a directed graph with 10 Vertices   2. Add arbitrary edges among vertices to satisfy the directed graph   3. Run your program and show appropriate output (Traversal order)   4. Your implementation should be fully commented Please, submit your source code and output (Screen Capture) too.

Programming with Python:  v Implement Depth First Search (Traversal)  v Implement Breadth First Traversal For the implementation:   1. Create a directed graph with 10 Vertices   2. Add arbitrary edges among vertices to satisfy the directed graph   3. Run your program and show appropriate output (Traversal order)   4. Your implementation should be fully commented Please, submit your source code and output (Screen Capture) too.

C++ Programming: From Problem Analysis to Program Design
C++ Programming: From Problem Analysis to Program Design
8th Edition
ISBN:9781337102087
Author:D. S. Malik
Publisher:D. S. Malik
Chapter18: Stacks And Queues
Section: Chapter Questions
Problem 16PE: The implementation of a queue in an array, as given in this chapter, uses the variable count to...
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Programming with Python:

 v Implement Depth First Search (Traversal)

 v Implement Breadth First Traversal

For the implementation:

  1. Create a directed graph with 10 Vertices

  2. Add arbitrary edges among vertices to satisfy the directed graph

  3. Run your program and show appropriate output (Traversal order)

  4. Your implementation should be fully commented

Please, submit your source code and output (Screen Capture) too.

Expert Solution
Step 1

Depth First Search(DFS):

DFS is the graph traversal algorithm. It uses a stack to implement.

It is recursive in the manner and it uses backtracking.

The algorithm for dfs is as follows:

  1. start
  2. if a new node is found push it into the stack
  3. marked the new node as visited
  4. check the node has an adjacent node if yes then
    • if that node is not visited then visit and marked as visited
    • removed it from the stack if the node has no adjacent node
  5. Repeat the above steps until the graph is not end
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