HDU4289网络流

信号完整性基础04:串扰(1) 我们理解了“单个”传输线(传输线是信号路径+回流路径,切记~),但大多数情况下单独“传输线”的情况并不多见(理想情况下的同轴线缆可以算一个),大多数我们PCB板上有成百上千条走线,它们组成了一个“大社会”,就如当年的TVB神剧《创世纪》一样,到处充满着恩怨情仇;稍处理不慎,单板这个“社会”就会崩溃。那么我们要从哪里入手去理解它呢?最基本的就是从两条PCB走线(传输线)之间的串扰开始。好,年前倒数第二章:《为什么会有串扰》。 ps:我们了解了x射线是啥,那么今天开始讲“放射线”,这两种东西是否就是同一种呢~ 阅读详情

大致题意:
    给出一个又n个点,m条边组成的无向图。给出两个点s,t。对于图中的每个点,去掉这个点都需要一定的花费。求至少多少花费才能使得s和t之间不连通。

 

大致思路:
    最基础的拆点最大流,把每个点拆作两个点 i 和 i' 连接i->i'费用为去掉这个点的花费,如果原图中有一条边a->b则连接a'->b。对这个图求出最大流即可。


#include<cstdio>
#include<cstring>
using namespace std;
const int inf=1<<30;
const int nMax=10105;
const int mMax=3000005;
struct Node
{
	int c,u,v,next;
	void insert(int nu,int nv,int nc,int nnext)
	{
		u=nu;
		v=nv;
		c=nc;
		next=nnext;
	}
}edge[mMax];
int ne,head[nMax];
int cur[nMax],ps[nMax],dep[nMax];

void addedge(int u,int v,int w) //加边
{
	edge[ne].insert(u,v,w,head[u]);
	head[u]=ne++;
	edge[ne].insert(v,u,0,head[v]);
	head[v]=ne++;
}

int dinic(int s, int t){                       //  dinic
    int tr, res = 0;
    int i, j, k, f, r, top;
    while(1){
        memset(dep, -1, sizeof(dep));
        for(f = dep[ps[0]=s] = 0, r = 1; f != r;)
        {
            for(i = ps[f ++], j = head[i]; j; j = edge[j].next)
            {
                if(edge[j].c && dep[k=edge[j].v] == -1)
                {
                    dep[k] = dep[i] + 1;
                    ps[r ++] = k;
                    if(k == t)
                    {
                        f = r; break;
                    }
                }
            }
        }
        if(dep[t] == -1) break;
        memcpy(cur, head, sizeof(cur));
        i = s, top = 0;
        while(1)
        {
            if(i == t)
            {
                for(tr =inf, k = 0; k < top; k ++)
                {
                    if(edge[ps[k]].c < tr)
                    {
                        tr = edge[ps[f=k]].c;
                    }
                }
                for(k = 0; k < top; k ++)
                {
                    edge[ps[k]].c -= tr;
                    edge[ps[k]^1].c += tr;
                }
                i = edge[ps[top=f]].u;
                res += tr;
            }
            for(j = cur[i]; cur[i]; j = cur[i] =edge[cur[i]].next)
            {
                if(edge[j].c && dep[i]+1 == dep[edge[j].v])
                {
                	break;
                }
            }
            if(cur[i])
            {
                ps[top ++] = cur[i];
                i = edge[cur[i]].v;
            }
            else
            {
                if(top == 0)
                {
                	break;
                }
                dep[i] = -1;
                i = edge[ps[-- top]].u;
            }
        }
    }
    return res;
}

int main()
{
	int i,j,a,b,s,t,m,n;
	while(~scanf("%d%d%d%d",&n,&m,&s,&t))
	{
		ne=2;
		memset(head,0,sizeof(head));
		for(i=1;i<=n;i++)
		{
			scanf("%d",&a);
			addedge(i,i+n,a);
		}
		for(i=1;i<=m;i++)
		{
			scanf("%d%d",&a,&b);
			addedge(a+n,b,inf);
			addedge(b+n,a,inf);
		}
		int res=dinic(s,t+n);
		printf("%d\n",res);
	}
	return 0;
}

//没事写着玩

#include<cstdio>
#include<cstring>
#include<algorithm>
#include<cmath>
#include<vector>
#include<queue>
using namespace std;

const int MAXN = 10007;
const int INF = 1<<27;

struct Dinic {
	struct Edge {
		int from, to, cap, flow;
		Edge(){}
		Edge(int from, int to, int cap, int flow):from(from),to(to),cap(cap),flow(flow) {}
	};
	vector<Edge> edges;
	vector<int> G[MAXN];
	bool vis[MAXN];
	int d[MAXN];
	int cur[MAXN];
	int n, m, s, t, maxflows;
	void init(int n) {
		this->n = n;
		for(int i = 1; i <= n; i++) G[i].clear();
		edges.clear();
	}
	
	void addedge(int u, int v, int cap) {
		edges.push_back(Edge(u, v, cap, 0));
		edges.push_back(Edge(v, u, 0, 0));
		m = edges.size();
		G[u].push_back(m - 2);
		G[v].push_back(m - 1);
	}
	
	bool bfs() {
		memset(vis, 0, sizeof(vis));
		memset(d, -1, sizeof(d));
		queue<int> q;
		q.push(s);
		d[s] = maxflows = 0;
		vis[s] = true;
		while( !q.empty()) {
			int u = q.front(); q.pop();
			int i, sz = G[u].size();
			for(i = 0; i < sz; i++) {
				Edge e = edges[G[u][i]];
				if( !vis[e.to] && e.cap > e.flow) {
					d[e.to] = d[u] + 1;
					vis[e.to] = true;
					q.push(e.to);
				}
			}
		}
		return vis[t];
	}
	
	int dfs(int u, int a) {
		if(u == t || a == 0) return a;
		int sz = G[u].size();
		int flow = 0, f;
		for(int &i = cur[u]; i < sz; i++) {
			Edge &e = edges[G[u][i]];
			if(d[u] + 1 == d[e.to] && (f = dfs(e.to, min(a, e.cap - e.flow))) > 0) {
				e.flow += f;
				edges[G[u][i]^1].flow -= f;
				flow += f;
				a -= f;
				if(a == 0) break;
			}
		}
		return flow;
	}
	
	int Maxflow(int s, int t) {
		this->s = s; this->t = t;
		int flow = 0;
		while(bfs()) {
			memset(cur, 0, sizeof(cur));
			flow += dfs(s, INF);
		}
		return flow;
	}
}Dic;

int main() {
	int n, m, s, t;
	while(~scanf("%d%d%d%d", &n, &m, &s, &t)) {
		int i, u, v, d;
		Dic.init(n*2);
		for(i = 1; i <= n; i++) {
			scanf("%d", &d);
			Dic.addedge(i, i+n, d);
		}
		for(i = 1; i <= m; i++) {
			scanf("%d%d", &u, &v);
			Dic.addedge(u + n, v, INF);
			Dic.addedge(v + n, u, INF);
		}
		printf("%d\n", Dic.Maxflow(s, t + n));
	}
	return 0;
}


(第七章)FAST开发方法 摘要: FAST是一种轻量级、业务驱动的系统分析与开发框架,适用于中小型项目,强调快速交付和组件化开发。其核心包括8个阶段:范围定义、问题分析、需求分析、逻辑设计、决策分析、物理设计、构造测试和安装发布。特点为结构化、用户参与、迭代渐进,适合需求明确且需快速交付的项目。与RUP(重量级)、敏捷(极轻量)相比,FAST更侧重业务分析和模块化开发。软考中可通过口诀“范围问题求逻辑,决策物理构发布”记忆阶段,并掌握五大开发方法(瀑布、原型、FAST、RUP、敏捷)的核心区别及适用场景。 阅读详情

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HDU4289 Control

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HDU 4289 Control (网络流,最大流)

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HDU4289 Control 【网络流】

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网络流最小割 -- Control HDU - 4289

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hdu4289Control(网络流)

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hdu 4289 Control 网络流

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hdu 4289 Control 网络流,最小割,拆点

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HDU 4289 Control(网络流,拆点)

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HDU 4289 Control [网络流拆点]

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HDU 4289 Control (拆点+网络流)

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