2 Yeah, this code only visits the nodes in a breadth-first fashion. This by itself is a useful thing to do for many applications (for example finding shortest paths in an unweighted graph) To actually return the BFS tree would require some additional work.
Technically, Breadth-first search (BFS) by itself does not let you find the shortest path, simply because BFS is not looking for a shortest path: BFS describes a strategy for searching a graph, but it does not say that you must search for anything in particular. Dijkstra's algorithm adapts BFS to let you find single-source shortest paths. In order to retrieve the shortest path from the origin ...
How do you trace the path of a Breadth-First Search, such that in the following example: If searching for key 11, return the shortest list connecting 1 to 11. [1, 4, 7, 11]
4 Breadth first search (BFS) means that you process all of your starting nodes' direct children, before going to deeper levels. BFS is implemented with a queue which stores a list of nodes that need to be processed. You start the algorithm by adding your start node to the queue.
What is the difference between breadth first searching and level order traversal? DEFINITION: "The level-order of an ordered tree is a listing of the vertices in the top-to-bottom, left-to-right order of a standard plane drawing of that tree".
8 If your search domain is infinite, depth-first-search doesn't guarantee to terminate/find a solution, even if a finite solution does exist. Also you can see more elaborate algorithms like A* to be a special subtype of breadth-first-search. In general, bfs is both optimal and complete (with finite branching factor) while dfs isn't.
Can someone please explain how could I solve a maze using breadth first search? I need to use breadth first search to find shortest path through a maze, but I am so confused. This is the pseudo code
Depth First Search has a time complexity of O (b^m), where b is the maximum branching factor of the search tree and m is the maximum depth of the state space. Terrible if m is much larger than d, but if search tree is "bushy", may be much faster than Breadth First Search. He goes on to say..
