815 Bus Routes
815. Bus Routes
1. Question
We have a list of bus routes. Eachroutes[i]
is a bus route that the i-th bus repeats forever. For example ifroutes[0] = [1, 5, 7]
, this means that the first bus (0-th indexed) travels in the sequence 1->5->7->1->5->7->1->... forever.
We start at bus stopS
(initially not on a bus), and we want to go to bus stopT
. Travelling by buses only, what is the least number of buses we must take to reach our destination? Return -1 if it is not possible.
Example:
Input:
routes = [[1, 2, 7], [3, 6, 7]]
S = 1
T = 6
Output: 2
Explanation:
The best strategy is take the first bus to the bus stop 7, then take the second bus to the bus stop 6.
Note:
1 <= routes.length <= 500
.1 <= routes[i].length <= 500
.0 <= routes[i][j] < 10 ^ 6
.
2. Implementation
(1) BFS
class Solution {
public int numBusesToDestination(int[][] routes, int S, int T) {
if (S == T) {
return 0;
}
Map<Integer, Set<Integer>> graph = new HashMap();
for (int i = 0; i < routes.length; i++) {
for (int stop : routes[i]) {
graph.putIfAbsent(stop, new HashSet());
graph.get(stop).add(i);
}
}
Queue<Integer> queue = new LinkedList();
queue.add(S);
Set<Integer> visited = new HashSet();
int buses= 1;
while (!queue.isEmpty()) {
int size = queue.size();
while (size-- > 0) {
int curStop = queue.remove();
for (int bus : graph.get(curStop)) {
if (visited.contains(bus)) continue;
visited.add(bus);
for (int nextStop : routes[bus]) {
if (nextStop == T) {
return buses;
}
queue.add(nextStop);
}
}
}
++buses;
}
return -1;
}
}
3. Time & Space Complexity
BFS: 时间复杂度O(mn), m是公交车数量,n是每个公交车经过的stop数量。空间复杂度O(mn)
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