Data Structures Questions
The main difference between a depth-first search (DFS) and a breadth-first search (BFS) in graphs lies in the order in which they explore the nodes.
In a depth-first search, the algorithm starts at a given node and explores as far as possible along each branch before backtracking. This means that it goes deep into the graph before exploring other branches. DFS uses a stack data structure to keep track of the nodes to be visited.
On the other hand, in a breadth-first search, the algorithm starts at a given node and explores all its neighboring nodes before moving on to the next level of nodes. This means that it explores the graph level by level, moving horizontally. BFS uses a queue data structure to keep track of the nodes to be visited.
In summary, DFS explores the graph by going deep into each branch before backtracking, while BFS explores the graph by visiting all neighboring nodes before moving on to the next level.