AOJ GRL_1_A: Single Source Shortest Path (Dijktra算法求单源最短路径,邻接表)
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题目链接:http://judge.u-aizu.ac.jp/onlinejudge/description.jsp?id=GRL_1_A
Single Source Shortest Path
Input
An edge-weighted graph G (V, E) and the source r.
|V| |E| r
s0 t0 d0
s1 t1 d1
:
s|E|−1 t|E|−1 d|E|−1
|V| is the number of vertices and |E| is the number of edges in G. The graph vertices are named with the numbers 0, 1,…, |V|−1 respectively. r is the source of the graph.
si and ti represent source and target vertices of i-th edge (directed) and di represents the cost of the i-th edge.
Output
c0
c1
:
c|V|−1
The output consists of |V| lines. Print the cost of the shortest path from the source r to each vertex 0, 1, … |V|−1 in order. If there is no path from the source to a vertex, print INF.
Constraints
1 ≤ |V| ≤ 100000
0 ≤ di ≤ 10000
0 ≤ |E| ≤ 500000
There are no parallel edges
There are no self-loops
Sample Input 1
4 5 0
0 1 1
0 2 4
1 2 2
2 3 1
1 3 5
Sample Output 1
0
1
3
4
Sample Input 2
4 6 1
0 1 1
0 2 4
2 0 1
1 2 2
3 1 1
3 2 5
Sample Output 2
3
0
2
INF
这题数据范围比较大,最多有100000个顶点,用邻接矩阵表示的话,空间肯定会超限。
我用Dijiksra的邻接表来解了。
套一个模板就出来了:
#include <iostream>#include <algorithm>#include <map>#include <vector>using namespace std;typedef long long ll;#define INF 2147483647struct edge{ int to,cost;};int V,E; vector <edge> G[100010];multimap <int,int> l;ll d[500010];void dijkstra(int s){ fill(d,d+V,INF); d[s] = 0; l.insert(make_pair(0,s)); while(l.size() > 0){ int p = l.begin()->first; int v = l.begin()->second; l.erase(l.begin()); if(d[v] < p) continue; for(int i = 0;i < G[v].size(); i++){ edge e = G[v][i]; if(d[e.to] > d[v] + e.cost){ d[e.to] = d[v] + e.cost; l.insert(make_pair(d[e.to], e.to)); } } }}int main(){ int r; cin >> V >> E >> r; for(int i = 0;i < E; i++){ edge e; int from; cin >> from >> e.to >> e.cost; G[from].push_back(e); } dijkstra(r); for(int i = 0;i < V; i++){ if(d[i] != INF) cout << d[i] << endl; else cout << "INF" <<endl; } return 0;}
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