一、题目 提示: n == rooms.length 2 = n = 1000 0 = rooms[i].length = 1000 1 = sum(rooms[i].length) = 3000 0 = rooms[i][j] n 所有 rooms[i] 的值 互不相同 二、思路 dfs基础题。以测试用例2为栗子画了个图: 像右
一、题目
提示:
- n == rooms.length
- 2 <= n <= 1000
- 0 <= rooms[i].length <= 1000
- 1 <= sum(rooms[i].length) <= 3000
- 0 <= rooms[i][j] < n
- 所有 rooms[i] 的值 互不相同
二、思路
dfs基础题。以测试用例2为栗子画了个图:
像右边,3号为父结点和孩子结点之间是不连接的,因为0号房间已经遍历过了。
一开始用版本一的代码有些测试用例没过,找了好久是因为dfs的递归边界和访问时的操作出了问题,不应该简单用cur_num(当前已经访问过的房间种数)进行判断是否完成任务,想法上没问题,但是我设置的cur_num是全局变量,遍历多条路径时都会依次累加这个cur_num值就不对啦,所以可以直接判断哈希表visited的size是否为房间总数即可—>作为最后成功与否的判断;并且也不用cur_num了。
当然从时间复杂度的结果看,还可进一步剪枝。
三、代码
版本一:错误代码(只过了48个测试用例):
class Solution {private:
unordered_map<int, int> visited;
//已经访问过的房间个数
int cur_num = 0;
int room_num;
public:
bool canVisitAllRooms(vector<vector<int>>& rooms) {
if(rooms.size() == 0){
return false;
}
int room_num = rooms.size();
dfs(rooms, 0, cur_num);
if(room_num == cur_num){
return true;
}else{
return false;
}
}
//cur_num为当前已经访问过的房间个数(种类)
void dfs(vector<vector<int>>& rooms, int room_id, int cur_num){
//递归边界判断
if(visited[room_id] || cur_num == room_num){
return;
}
//先访问当前的房间
//vector<int>id = rooms[room_id];
visited[room_id] = 1;
cur_num++;
//遍历当前房间拥有的钥匙的房间
for(auto& next_i: rooms[room_id]){
dfs(rooms, next_i, cur_num);
}
}
};
版本二:正确代码:
private:
unordered_map<int, int> visited;
//已经访问过的房间个数
int room_num;
public:
bool canVisitAllRooms(vector<vector<int>>& rooms) {
if(rooms.size() == 0){
return false;
}
int room_num = rooms.size();
dfs(rooms, 0);
if(room_num == visited.size()){
return true;
}else{
return false;
}
}
//cur_num为当前已经访问过的房间个数(种类)
void dfs(vector<vector<int>>& rooms, int room_id){
//递归边界判断
if(visited[room_id]){
return;
}
//先访问当前的房间
//vector<int>id = rooms[room_id];
visited[room_id] = 1;
//遍历当前房间拥有的钥匙的房间
for(auto& next_i: rooms[room_id]){
dfs(rooms, next_i);
}
}
};