How do I implement breadth-first search in my project?
To implement breadth-first search (BFS), you can use a queue to explore nodes level by level. Do you have a specific data structure in mind?
I'm using a graph represented as an adjacency list.
Great! You can start by initializing a queue with the starting node, then repeatedly dequeue a node, visit it, and enqueue its unvisited neighbors.
Can you provide a code example for that?
Sure! Here's a simple Python implementation:
from collections import deque
def bfs(graph, start):
visited = set()
queue = deque([start])
while queue:
node = queue.popleft()
if node not in visited:
print(node)
visited.add(node)
queue.extend(neighbor for neighbor in graph[node] if neighbor not in visited)
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