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Difference between Breadth-First Search (BFS) and Depth-First Search (DFS) Algorithms

In graph theory, Breadth-First Search (BFS) and Depth-First Search (DFS) are two common search algorithms used to traverse or search for elements in a graph structure.

Focus Keyword: Breadth-First Search (BFS) and Depth-First Search (DFS) algorithm differences

Breadth-First Search (BFS)

BFS explores all the neighbor nodes at the present depth prior to moving on to the nodes at the next depth level. It ensures that the shortest path is found in an unweighted graph.

Depth-First Search (DFS)

DFS explores as far as possible along each branch before backtracking. It is often used in solving maze problems or topological sorting.

Overall, the main difference between BFS and DFS lies in their traversal order and the way they prioritize exploring nodes in a graph.

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