Title Description
With a road map for travel by car, you will know the length of the highway between the city and the road tolls to be charged. Now you need to write a program to help the tourists to come to counseling to find the shortest path between a departure and destination. If there are several paths are the shortest, you need to output the least expensive path.
Input formats:
Input Description: first input data line 4 is given positive integers N, M, S, D, where N (2≤N≤500) is the number of the city, the city assumed way numbered 0 ~ (N-1 ); M is the number of the highway; S is the point of departure cities numbered; D is the number of urban destinations. Subsequent M rows, each row is given an information highway, are: 1 urban, urban 2, the length of the highway, toll revenue, separated by a space intermediate, figures are an integer of not more than 500. Enter exist to ensure solution.
Output formats:
The total length and charge output path, separated by spaces between the numbers in a row, the end of the output can not have extra space.
Sample input:
4 5 0 3
0 1 1 20
1 3 2 30
0 3 4 10
0 2 2 20
2 3 1 20
Sample output:
3 40
Problem-solving ideas
According meaning of the questions, we can see that this is a single-source shortest path problem diagram entitled, Dijkstra's algorithm to solve, to note that the meaning of the shortest path problem this is 先比较长度,再比较花费
.
Code
#include <stdio.h>
#include <stdlib.h>
#define MAXSIZE 500
#define INFINITY 600
typedef struct {
int length;
int pay;
} Edge;
typedef struct {
int vertexCount;
int edgeCount;
Edge matrix[MAXSIZE][MAXSIZE];
} Graph, *PGraph;
PGraph createGraph(int N, int M);
void initDistance(Edge dis[], PGraph graph, int S);
void dijkstra(Edge dis[], PGraph graph, int S);
int getNext(Edge dis[], int N);
visited[MAXSIZE] = {0};
int main() {
int N, M, S, D;
scanf("%d %d %d %d", &N, &M, &S, &D);
PGraph graph = createGraph(N, M);
Edge dis[MAXSIZE]; //记录路径长度与花费
initDistance(dis, graph, S);
dijkstra(dis, graph, S);
printf("%d %d\n", dis[D].length, dis[D].pay);
return 0;
}
PGraph createGraph(int N, int M) {
PGraph graph = (PGraph) malloc(sizeof(Graph));
graph->vertexCount = N;
graph->edgeCount = M;
for (int i = 0; i < N; i++) {
for (int j = 0; j < N; j++) {
graph->matrix[i][j].length = INFINITY;
graph->matrix[i][j].pay = INFINITY;
}
}
for (int i = 0; i < M; i++) {
int x, y, len, pay;
scanf("%d %d %d %d", &x, &y, &len, &pay);
graph->matrix[x][y].length = len;
graph->matrix[x][y].pay = pay;
graph->matrix[y][x].length = len;
graph->matrix[y][x].pay = pay;
}
return graph;
}
void initDistance(Edge dis[], PGraph graph, int S) {
for (int i = 0; i < graph->vertexCount; i++) {
if (i == S) {
dis[i].length = 0;
dis[i].pay = 0;
} else {
dis[i].length = graph->matrix[S][i].length;
dis[i].pay = graph->matrix[S][i].pay;
}
}
}
void dijkstra(Edge dis[], PGraph graph, int S) {
visited[S] = 1; //将起点标记为已访问
int N = graph->vertexCount;
while (1) {
int next = getNext(dis, N);
if (next == -1) break;
visited[next] = 1;
for (int i = 0; i < N; i++) {
//对next每个未访问的邻接点
if (graph->matrix[next][i].length != INFINITY && !visited[i]) {
if (dis[i].length > dis[next].length + graph->matrix[next][i].length) {
dis[i].length = dis[next].length + graph->matrix[next][i].length;
dis[i].pay = dis[next].pay + graph->matrix[next][i].pay;
} else if (dis[i].length == dis[next].length + graph->matrix[next][i].length) {
if (dis[i].pay > dis[next].pay + graph->matrix[next][i].pay) {
dis[i].length = dis[next].length + graph->matrix[next][i].length;
dis[i].pay = dis[next].pay + graph->matrix[next][i].pay;
}
}
}
}
}
}
int getNext(Edge dis[], int N) {
int next = -1;
int minLength = INFINITY, minPay = INFINITY;
for (int i = 0; i < N; i++) {
if (!visited[i] && minLength >= dis[i].length) {
if (minLength > dis[i].length) {
minLength = dis[i].length;
minPay = dis[i].pay;
next = i;
} else if (minLength == dis[i].length) {
if (minPay > dis[i].pay) {
minLength = dis[i].length;
minPay = dis[i].pay;
next = i;
}
}
}
}
return next;
}