目录
1 问题描述
| Time Limit: 1000MS | Memory Limit: 65536K | |||
| Total Submissions: 8998 | Accepted: 3018 | Special Judge | ||
Description
The streets in Johnny's town were named by integer numbers from 1 to n, n < 1995. The junctions were independently named by integer numbers from 1 to m, m <= 44. No junction connects more than 44 streets. All junctions in the town had different numbers. Each street was connecting exactly two junctions. No two streets in the town had the same number. He immediately started to plan his round trip. If there was more than one such round trip, he would have chosen the one which, when written down as a sequence of street numbers is lexicographically the smallest. But Johnny was not able to find even one such round trip.
Help Johnny and write a program which finds the desired shortest round trip. If the round trip does not exist the program should write a message. Assume that Johnny lives at the junction ending the street appears first in the input with smaller number. All streets in the town are two way. There exists a way from each street to another street in the town. The streets in the town are very narrow and there is no possibility to turn back the car once he is in the street
Input
Output
Sample Input
1 2 1
2 3 2
3 1 6
1 2 5
2 3 3
3 1 4
0 0
1 2 1
2 3 2
1 3 3
2 4 4
0 0
0 0
Sample Output
1 2 3 5 4 6
Round trip does not exist.
Source
2 解决方案
具体代码如下：
package com.liuzhen.practice; import java.util.ArrayList;
import java.util.Collections;
import java.util.Comparator;
import java.util.Scanner; public class Main {
public static int MAX = 100; //题意说明，最多44个路口
public static int start; // Johnny出发起点
public static int[] id = new int[MAX];
public static int[] degree = new int[MAX]; //用于计算给定图每个顶点的度
public static boolean[] used = new boolean[2000]; //用于判断图中相应边是否被遍历
public static int[] path = new int[MAX];
public static int count; //用于统计行走路径的街道数
public static ArrayList<String> result = new ArrayList<String>(); class MyComparator implements Comparator<edge> {
public int compare(edge o1, edge o2) {
if(o1.street > o2.street)
return 1;
else if(o1.street < o2.street)
return -1;
else
return 0;
}
} static class edge {
public int a; //边的起点
public int b; //边的终点
public int street; //街道 public edge(int a, int b, int street) {
this.a = a;
this.b = b;
this.street = street;
}
}
//寻找顶点a的根节点
public int find(int[] id, int a) {
int root = a;
while(id[root] >= 0) {
root = id[root];
}
int i;
int k = a;
while(k != root) {
i = id[k];
id[k] = root;
k = i;
}
return root;
}
//合并顶点a和顶点b所在的树
public void union(int[] id, int a, int b) {
int rootA = find(id, a);
int rootB = find(id, b);
int rootNum = id[rootA] + id[rootB];
if(id[rootA] < id[rootB]) {
id[rootB] = rootA;
id[rootA] = rootNum;
} else{
id[rootA] = rootB;
id[rootB] = rootNum;
}
return;
} public void init() {
for(int i = 0;i < 50;i++) {
id[i] = -1; //初始化所有顶点所在树的根节点编号为-1
degree[i] = 0;
path[i] = -1;
count = 0;
}
for(int i = 0;i < 2000;i++) {
used[i] = false;
}
return;
} public boolean judge(ArrayList<edge>[] map) {
int root = find(id, start);
for(int i = 0;i < MAX;i++) {
if(map[i].size() == 0)
continue;
Collections.sort(map[i], new MyComparator());
for(int j = 0;j < map[i].size();j++) {
if(find(id, map[i].get(j).b) != root)
return false;
}
}
for(int i = 0;i < MAX;i++) {
if(degree[i] % 2 != 0)
return false;
}
return true;
} public void dfs(ArrayList<edge>[] map, int start) {
for(int i = 0;i < map[start].size();i++) {
if(!used[map[start].get(i).street]) {
used[map[start].get(i).street] = true;
path[count++] = map[start].get(i).street;
dfs(map, map[start].get(i).b);
}
}
} public static void main(String[] args) {
Main test = new Main();
Scanner in = new Scanner(System.in);
while(true) {
int a1 = in.nextInt();
int b1 = in.nextInt();
if(a1 == 0 && b1 == 0)
break;
int c1 = in.nextInt();
start = Math.min(a1, b1); //Johnny出发起点
test.init(); //初始化输入顶点的度和所在树的根节点
@SuppressWarnings("unchecked")
ArrayList<edge>[] map = new ArrayList[MAX];
for(int i = 0;i < MAX;i++) {
map[i] = new ArrayList<edge>();
}
map[a1].add(new edge(a1, b1, c1));
map[b1].add(new edge(b1, a1, c1));
degree[a1]++;
degree[b1]++;
test.union(id, a1, b1); //合并顶点a1和顶点b1所在树
while(true) {
int a = in.nextInt();
int b = in.nextInt();
if(a == 0 && b == 0)
break;
int c = in.nextInt();
map[a].add(new edge(a, b, c));
map[b].add(new edge(b, a, c));
degree[a]++;
degree[b]++;
test.union(id, a, b);
}
String tempR = "";
if(test.judge(map)) {
test.dfs(map, start);
for(int i = 0;i < count;i++) {
tempR = tempR + path[i] + " ";
}
} else {
tempR = "Round trip does not exist.";
}
result.add(tempR);
}
for(int i = 0;i < result.size();i++)
System.out.println(result.get(i));
}
}
运行结果：
1 2 1
2 3 2
3 1 6
1 2 5
2 3 3
3 1 4
0 0
1 2 1
2 3 2
1 3 3
2 4 4
0 0
0 0
1 2 3 5 4 6
Round trip does not exist.
参考资料：
1.欧拉回路