python求直径最小生成树
时间: 2023-12-18 20:29:30 浏览: 94
遗传算法求解最小生成树源码
以下是Python求直径最小生成树的步骤:
1. 首先,需要使用Kruskal算法来生成最小生成树。
2. 然后,需要对最小生成树进行遍历,找到最长的边,即为直径。
3. 最后,输出直径和最小生成树。
下面是Python代码示例:
```python
# 定义边的类
class Edge:
def __init__(self, u, v, w):
self.u = u
self.v = v
self.w = w
# 定义并查集类
class UnionFind:
def __init__(self, n):
self.parent = list(range(n))
self.rank = [0] * n
def find(self, x):
if self.parent[x] != x:
self.parent[x] = self.find(self.parent[x])
return self.parent[x]
def union(self, x, y):
px, py = self.find(x), self.find(y)
if px == py:
return False
if self.rank[px] < self.rank[py]:
px, py = py, px
self.parent[py] = px
if self.rank[px] == self.rank[py]:
self.rank[px] += 1
return True
# 定义Kruskal算法函数
def kruskal(n, edges):
uf = UnionFind(n)
edges.sort(key=lambda e: e.w)
res = []
for e in edges:
if uf.union(e.u, e.v):
res.append(e)
if len(res) == n - 1:
break
return res
# 定义求直径函数
def diameter(n, edges):
mst = kruskal(n, edges)
dist = [-1] * n
dist[mst[0].u] = 0
q = [mst[0].u]
while q:
u = q.pop(0)
for e in mst:
if e.u == u and dist[e.v] == -1:
dist[e.v] = dist[u] + e.w
q.append(e.v)
elif e.v == u and dist[e.u] == -1:
dist[e.u] = dist[u] + e.w
q.append(e.u)
u = max(range(n), key=lambda i: dist[i])
dist = [-1] * n
dist[u] = 0
q = [u]
while q:
u = q.pop(0)
for e in mst:
if e.u == u and dist[e.v] == -1:
dist[e.v] = dist[u] + e.w
q.append(e.v)
elif e.v == u and dist[e.u] == -1:
dist[e.u] = dist[u] + e.w
q.append(e.u)
return max(dist)
# 测试
n = 5
edges = [Edge(0, 1, 1), Edge(0, 2, 2), Edge(0, 3, 3), Edge(0, 4, 4), Edge(1, 2, 5), Edge(1, 3, 6), Edge(1, 4, 7), Edge(2, 3, 8), Edge(2, 4, 9), Edge(3, 4, 10)]
print("最小生成树:", kruskal(n, edges))
print("直径:", diameter(n, edges))
```
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