787. Cheapest Flights Within K Stops
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There are n
cities connected by m
flights. Each flight starts from city u
and arrives at v
with a price w
.
Now given all the cities and flights, together with starting city src
and the destination dst
, your task is to find the cheapest price from src
to dst
with up to k
stops. If there is no such route, output -1
.
Example 1: Input: n = 3, edges = [[0,1,100],[1,2,100],[0,2,500]] src = 0, dst = 2, k = 1 Output: 200 Explanation: The graph looks like this:
The cheapest price from city0
to city2
with at most 1 stop costs 200, as marked red in the picture.
Example 2: Input: n = 3, edges = [[0,1,100],[1,2,100],[0,2,500]] src = 0, dst = 2, k = 0 Output: 500 Explanation: The graph looks like this:
The cheapest price from city0
to city2
with at most 0 stop costs 500, as marked blue in the picture.
Constraints:
- The number of nodes
n
will be in range[1, 100]
, with nodes labeled from0
ton
- 1
. - The size of
flights
will be in range[0, n * (n - 1) / 2]
. - The format of each flight will be
(src,
dst
, price)
. - The price of each flight will be in the range
[1, 10000]
. k
is in the range of[0, n - 1]
.- There will not be any duplicated flights or self cycles.
class Solution { public int findCheapestPrice(int n, int[][] flights, int src, int dst, int K) { int[] cost=new int[n]; Arrays.fill(cost,Integer.MAX_VALUE); cost[src]=0; for(int i=0;i<=K;i++) { int[] temp= Arrays.copyOf(cost,n); for(int[] f: flights) { int curr=f[0],next=f[1],price=f[2]; if(cost[curr]==Integer.MAX_VALUE) continue; temp[next]=Math.min(temp[next],cost[curr]+price); } cost=temp; } return cost[dst]==Integer.MAX_VALUE?-1:cost[dst]; } }
src 到 dst 之间up to k stops,在bellman-ford算法中,relax一次可以(有可能)增长一次path,所以我们总共需要relax 1 + k次。
注意:bellman-ford中relax N-1次是因为从起始点到所有其他点最多能延长N-1,使最长路径path为N
引用:“
BF runs V-1 iterations since that‘s the longest possible path from src to dest - one that uses every vertex. In this problem, since the longest path is given as K+1, you only need to run it that many iterations.
See https://en.wikipedia.org/wiki/Bellman–Ford_algorithm
"After i repetitions of for loop... if there is a path from s to u with at most i edges, then Distance(u) is at most the length of the shortest path from s to u with at most i edges."
”
Bellman-ford初始化除了自己外cost全是Max_VALUE
class Solution { public int findCheapestPrice(int n, int[][] flights, int src, int dst, int K) { Map<Integer,List<int[]>> map=new HashMap<>(); for(int[] i:flights) { map.putIfAbsent(i[0],new ArrayList<>()); map.get(i[0]).add(new int[]{i[1],i[2]}); } int step=0; Queue<int[]> q=new LinkedList<>(); q.offer(new int[]{src,0}); int ans=Integer.MAX_VALUE; while(!q.isEmpty()) { int size=q.size(); for(int i=0;i<size;i++) { int[] curr=q.poll(); if(curr[0]==dst) ans=Math.min(ans,curr[1]); if(!map.containsKey(curr[0])) continue; for(int[] f:map.get(curr[0])) { if(curr[1]+f[1]>ans) //Pruning continue; q.offer(new int[]{f[0],curr[1]+f[1]}); } } if(step++>K) break; } return ans==Integer.MAX_VALUE?-1:ans; } }
BFS
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