| 1 | class Solution { |
| 2 | long[] dijkstra(int S, long adj[][]){ |
| 3 | long dist[] = new long[26]; |
| 4 | for(int i=0;i<26;i++){ |
| 5 | dist[i] = Integer.MAX_VALUE; |
| 6 | } |
| 7 | dist[S] = 0; |
| 8 | PriorityQueue<long[]> pq = new PriorityQueue<>(new Comparator<long[]>(){ |
| 9 | public int compare(long a[], long b[]){ |
| 10 | if(a[1]<=b[1]){ |
| 11 | return -1; |
| 12 | } |
| 13 | return 1; |
| 14 | } |
| 15 | }); |
| 16 | pq.offer(new long[] {S,0}); |
| 17 | |
| 18 | while(!pq.isEmpty()){ |
| 19 | long element[] = pq.poll(); |
| 20 | long node = element[0]; |
| 21 | long distance = element[1]; |
| 22 | for(int i=0;i<26;i++){ |
| 23 | if(adj[(int)node][i]==Integer.MAX_VALUE){ |
| 24 | continue; |
| 25 | } |
| 26 | long newDist = distance + adj[(int)node][i]; |
| 27 | if(newDist<dist[i]){ |
| 28 | dist[i] = newDist; |
| 29 | pq.offer(new long[]{i,newDist}); |
| 30 | } |
| 31 | } |
| 32 | } |
| 33 | return dist; |
| 34 | } |
| 35 | public long minimumCost(String source, String target, char[] original, char[] changed, int[] cost) { |
| 36 | //adj list for directed graph |
| 37 | long adj[][] = new long[26][26]; |