Til the Cows Come Home

Til the Cows Come Home （最短路问题）

Bessie is out in the field and wants to get back to the barn to get as much sleep as possible before Farmer John wakes her for the morning milking. Bessie needs her beauty sleep, so she wants to get back as quickly as possible.

Farmer John’s field has N (2 <= N <= 1000) landmarks in it, uniquely numbered 1..N. Landmark 1 is the barn; the apple tree grove in which Bessie stands all day is landmark N. Cows travel in the field using T (1 <= T <= 2000) bidirectional cow-trails of various lengths between the landmarks. Bessie is not confident of her navigation ability, so she always stays on a trail from its start to its end once she starts it.

Given the trails between the landmarks, determine the minimum distance Bessie must walk to get back to the barn. It is guaranteed that some such route exists.

Input

• Line 1: Two integers: T and N
• Lines 2..T+1: Each line describes a trail as three space-separated integers. The first two integers are the landmarks between which the trail travels. The third integer is the length of the trail, range 1..100.

Output

• Line 1: A single integer, the minimum distance that Bessie must travel to get from landmark N to landmark 1.

Sample Input

5 5

1 2 20

2 3 30

3 4 20

4 5 20

1 5 100

Sample Output

90

Hint

INPUT DETAILS:

There are five landmarks.

OUTPUT DETAILS:

Bessie can get home by following trails 4, 3, 2, and 1.

题解

理论上Dijkstra应该更快的，可不知为什么提交结果Bellman-Ford更快了，对该问题感兴趣的同学可以留言讨论一下。

方法一

Dijkstra算法，用优先队列优化后时间复杂度为 O(|E|log|V|)

为了节约空间使用了邻接链表

//656K  79MS
#include<stdio.h>
#include<queue>
#include<vector>
#define INF 0x3f3f3f
#define MAX_N 1002
using namespace std;

struct edge{int to,cost;}E;
typedef pair<int ,int> P;//f 距离 s 顶点

int V,T;
int d[MAX_N];

bool operator <(P x,P y){
    return x.first>y.first;
}

void dijkstra(int s,vector<edge> *G){
    //vector<edge> G[V+1];
    priority_queue<P> que;
    fill(d,d+V+,INF);
    d[s]=;
    que.push(P(,s));

    while(!que.empty()){
        P p=que.top();que.pop();
        int v=p.second;
        if(d[v]<p.first) continue;
        for(int i=;i<G[v].size();i++){
            edge e=G[v][i];
            if(d[v]+e.cost<d[e.to]){
                d[e.to]=d[v]+e.cost;
                que.push(P(d[e.to],e.to));
            }
        }
    }
}

int main()
{
    while(~scanf("%d%d",&T,&V)){
        vector<edge> G[V+];
        int s;bool flag;
        while(T--){
            scanf("%d%d%d",&s,&E.to,&E.cost);
            int t=;
            while(t--){// 这是个无向图 存两次 
                G[s].push_back(E);
                int tmp=s;
                s=E.to,E.to=tmp;
            }
        }
        dijkstra(,G);
        printf("%d\n",d[V]);
    }
    return ;
}
           

方法二

Bellman-Ford算法，时间复杂度 O(|V|*|E|)

只是为了练习然后敲了下面的代码

//436K  16MS
#include<stdio.h>
#include<algorithm>
#define MAX_E 4002
#define MAX_V 1002
#define INF 0x3f3f3f
using namespace std;
struct edge{int from,to,cost;};
edge es[MAX_E];
int d[MAX_V],V,E;

void bellman_ford(int s){
    fill(d,d+V+,INF);
    d[s]=;
    while(true){
        bool update=false;
        for(int i=;i<E;i++){
            edge e=es[i];
            if(d[e.from]!=INF&&d[e.from]+e.cost<d[e.to]){
                d[e.to]=d[e.from]+e.cost;
                update=true;
            }
        }
        if(!update) break;
    }
}
int main()
{
    while(~scanf("%d%d",&E,&V)){
        edge get;
        for(int i=;i<E;i++){
            scanf("%d%d%d",&get.from,&get.to,&get.cost);
            es[*i]=get;
            int tmp=get.from;get.from=get.to;get.to=tmp;
            es[*i+]=get;
        }
        E*=;
        bellman_ford();
        printf("%d\n",d[V]); 
    }
    return ;
}