Reputation: 157
There are N network nodes, labelled 1 to N.
Given times, a list of travel times as directed edges times[i] = (u, v, w), where u is the source node, v is the target node, and w is the time it takes for a signal to travel from source to target.
Now, we send a signal from a certain node K. How long will it take for all nodes to receive the signal? If it is impossible, return -1.
here is my code.. however it is giving wrong answer
class Solution {
public:
int networkDelayTime(vector <vector<int>> ×, int N, int K) {
vector<int> time(N + 1);
vector<int> visited(N + 1, 0);
vector < vector < pair < int, int >> > graph(N + 1);
for (int i = 0; i < times.size(); i++) {
graph[times[i][0]].push_back(make_pair(times[i][1], times[i][2]));
}
queue <pair<int, int>> q;
q.push(make_pair(K, 0));
visited[K] = 1;
time[K] = 0;
while (!q.empty()) {
int end = q.front().first;
int duration = q.front().second;
q.pop();
for (auto k:graph[end]) {
int first = k.first;
int second = k.second;
if (!visited[first]) {
q.push(make_pair(first, second));
time[first] = duration + second;
visited[first] = 1;
} else {
time[first] = min(time[first], (duration + second));
}
}
}
for (int i = 1; i <= N; i++) {
if (visited[i] == 0) {
return -1;
}
}
sort(time.begin(), time.end());
return time[N];
}
};
I am not able to figure out where I am wrong. Thanks
Upvotes: 0
Views: 106
Reputation: 7724
This is a text-book application of Dijkstra's algorithm.
Given a node K
, this algorithm will fill an array with the minimum distance from K
to every other node, so the biggest value in this array will be the total time it takes for the signal to reach every other node.
You can't just use a BFS because it won't necessarily consider a shorter path to a node once it has already found any other path to that node. Dijkstra's algorithm is a modification of the BFS that deals with that. See this example, supposing the initial node is 1, the distances to the other nodes given by BFS and Dijkstra are different:
Upvotes: 2