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Which algorithm is better among BFS and DFS to solve a large problem?

Posted on December 15, 2020 by Author

Table of Contents

  • 1 Which algorithm is better among BFS and DFS to solve a large problem?
  • 2 Which data structure is used to implement BFS justify your answer with the help of an example?
  • 3 What are the rules for using BFS algorithm?
  • 4 What is the difference between BFS and DFS in linear programming?
  • 5 What is the full form of BFS?

Which algorithm is better among BFS and DFS to solve a large problem?

DFS uses Stack to find the shortest path. BFS is better when target is closer to Source. DFS is better when target is far from source. As BFS considers all neighbour so it is not suitable for decision tree used in puzzle games.

Which data structure is used to implement BFS justify your answer with the help of an example?

A queue (FIFO-First in First Out) data structure is used by BFS. You mark any node in the graph as root and start traversing the data from it.

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What is the drawback of using BFS?

Disadvantages: BFS consumes large memory space. Its time complexity is more. It has long pathways, when all paths to a destination are on approximately the same search depth.

What are the rules for using BFS algorithm?

Here, are important rules for using BFS algorithm: A queue (FIFO-First in First Out) data structure is used by BFS. You mark any node in the graph as root and start traversing the data from it. BFS traverses all the nodes in the graph and keeps dropping them as completed.

What is the difference between BFS and DFS in linear programming?

BFS can be used to find the shortest path, with unit weight edges, from a node (origional source) to another. Whereas, DFS can be used to exhaust all the choices because of its nature of going in depth, like discovering the longest path between two nodes in an acyclic graph. Also DFS, can be used for cycle detection in a graph.

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Which data structure is used by BFS?

A queue (FIFO-First in First Out) data structure is used by BFS. You mark any node in the graph as root and start traversing the data from it. BFS traverses all the nodes in the graph and keeps dropping them as completed.

What is the full form of BFS?

The full form of BFS is the Breadth-first search. The algorithm efficiently visits and marks all the key nodes in a graph in an accurate breadthwise fashion. This algorithm selects a single node (initial or source point) in a graph and then visits all the nodes adjacent to the selected node. Remember, BFS accesses these nodes one by one.

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