博客
关于我
[bzoj1934][网络流-最小割]Vote 善意的投票
阅读量:112 次
发布时间:2019-02-26

本文共 2863 字,大约阅读时间需要 9 分钟。

??????n????????????????????????????????????????????????????????????????????????????????????????

??????

??????????

  • ???????????????
  • ?????????????????
  • ????

    ??????????????????????????

  • ????????????????????????????
  • ??????????????????????????????????????
  • ???????????????????????????????
  • ?????????????????????
  • ????

    import sysfrom collections import dequeclass Edge:    def __init__(self, to, rev, capacity):        self.to = to        self.rev = rev        self.capacity = capacityclass MinCut:    def __init__(self, n):        self.size = n        self.graph = [[] for _ in range(n)]        def add_edge(self, fr, to, cap):        forward = Edge(to, len(self.graph[to]), cap)        backward = Edge(fr, len(self.graph[fr]), 0)        self.graph[fr].append(forward)        self.graph[to].append(backward)        def bfs_level(self, s, t, level):        q = deque()        level[:] = [-1]*self.size        level[s] = 0        q.append(s)        while q:            v = q.popleft()            for edge in self.graph[v]:                if edge.capacity > 0 and level[edge.to] == -1:                    level[edge.to] = level[v] + 1                    q.append(edge.to)                    if edge.to == t:                        return        return        def dfs_flow(self, v, t, upTo, iter_, level):        if v == t:            return upTo        for i in range(iter_[v], len(self.graph[v])):            edge = self.graph[v][i]            if edge.capacity > 0 and level[v] < level[edge.to]:                d = self.dfs_flow(edge.to, t, min(upTo, edge.capacity), iter_, level)                if d > 0:                    edge.capacity -= d                    self.graph[edge.to][edge.rev].capacity += d                    return d            iter_[v] +=1        return 0        def min_cut(self, s, t):        level = [-1]*self.size        self.bfs_level(s, t, level)        if level[t] == -1:            return 0        iter_ = [0]*self.size        flow = self.dfs_flow(s, t, float('inf'), iter_, level)        return flowdef main():    n, m = map(int, sys.stdin.readline().split())    a = list(map(int, sys.stdin.readline().split()))    edges = [[] for _ in range(n)]    for _ in range(m):        u, v = map(int, sys.stdin.readline().split())        u -=1        v -=1        edges[u].append(v)        edges[v].append(u)        size = 2 * n    source = 0    sink = 2 * n -1    mc = MinCut(size)    for i in range(n):        mc.add_edge(source, 2*i, a[i])        mc.add_edge(2*i +1, sink, 1)        for u in range(n):        for v in edges[u]:            mc.add_edge(2*u, 2*v, 1)            mc.add_edge(2*v, 2*u, 1)        min_flow = mc.min_cut(source, sink)    print(min_flow)if __name__ == "__main__":    main()

    ????

  • MinCut??????????????????
  • add_edge????????
  • bfs_level????????????????
  • dfs_flow??????????????
  • min_cut???????
  • main??????????????????
  • ???????????????????????

    转载地址:http://vfmu.baihongyu.com/

    你可能感兴趣的文章
    Python 是否优化尾递归?
    查看>>
    Python 更新set
    查看>>
    Python 最强 IDE 详细使用指南!
    查看>>
    Python 有一个不可变的列表吗?
    查看>>
    Python 机器学习入门之 pandas 的使用
    查看>>
    Python 机器学习实战
    查看>>
    python 杀死子进程_subprocess.popen.kill杀死所有子进程
    查看>>
    Python 条件语句与循环结构详解
    查看>>
    Python 条件运算符解决方法如何工作?
    查看>>
    python 枚举类型
    查看>>
    Python 查询 Mongodb数据库
    查看>>
    python 查询Neo4j多节点的多层关系
    查看>>
    Python多处理导致许多僵尸进程
    查看>>
    Python多处理对象引用
    查看>>
    Python多处理安全地写入文件
    查看>>
    python多处理参数:深拷贝?
    查看>>
    Python多处理使用队列写入同一个文件
    查看>>
    Python多处理.Process:从局部变量开始
    查看>>
    Python多处理-进程数
    查看>>
    python多个定时器_python单线程实现多个定时器示例
    查看>>