深图--度优先搜索与广度优先搜索

原创于 2019-05-17 13:24:07 发布 · 174 阅读

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博客主要围绕深度优先搜索和广度优先搜索展开，这两种搜索算法在信息技术领域有重要应用。深度优先搜索沿着树的深度遍历节点，广度优先搜索则逐层遍历节点。它们在图的遍历、路径搜索等方面发挥着关键作用。

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def dfs(adj, start):
    visited = set()
    stack = [[start, 0]]
    print(adj[start])
    while stack:
        (v, next_child_idx) = stack[-1]
        if (v not in adj) or (next_child_idx >= len(adj[v])):
            stack.pop()
            continue
        next_child = adj[v][next_child_idx]
        stack[-1][1] += 1
        if next_child in visited:
            continue
        print(next_child)
        visited.add(next_child)
        stack.append([next_child, 0])


graph = {1: [4, 2], 2: [3, 4], 3: [4], 4: [5]}
#dfs(graph, 1)

#import Queue

def bfs(adj, start):
    visited = set()
    q = []
    q.append(start)
    while len(q)>0:
        u = q.pop(0)
        print(u)
        if u in adj:
             for v in adj[u]:
                 if v not in visited:
                     visited.add(v)
                     q.append(v)


graph = {1: [4, 2], 2: [3, 4], 3: [4], 4: [5]}
bfs(graph, 1)