BFS in Complete Tree
BFS in Complete Tree The breadth-first search or BFS algorithm is used to search a tree or graph data structure for a node that meets a set of criteria . It begins at the root of the tree or graph and investigates all nodes at the current depth level before moving on to nodes at the next depth level. Completeness: Yes, BFS is complete for traversing all nodes in a tree or a graph. Time Complexity: For a tree with n n nodes and m m edges, the time complexity of BFS is O ( n + m ) O ( n + m ) . In the case of a tree where m = n − 1 m = n − 1 . Space Complexity: The space complexity of BFS is O ( w ) O ( w ) , where w w is the maximum width or the maximum number of nodes at any level in the tree. Optimality: Yes, BFS is optimal for finding the shortest path in an unweighted graph or tree since it explores nodes level by level. Tree: Code: class Node : def __init__ ( self , value ): self . data = value se...