317. Shortest Distance from All Buildings
You want to build a house on an empty land which reaches all buildings in the shortest amount of distance. You can only move up, down, left and right. You are given a 2D grid of values 0, 1 or 2, where:
Each 0 marks an empty land which you can pass by freely.
Each 1 marks a building which you cannot pass through.
Each 2 marks an obstacle which you cannot pass through.
For example, given three buildings at (0,0), (0,4), (2,2), and an obstacle at (0,2):
1 - 0 - 2 - 0 - 1
| | | | |
0 - 0 - 0 - 0 - 0
| | | | |
0 - 0 - 1 - 0 - 0
The point (1,2) is an ideal empty land to build a house, as the total travel distance of 3+3+1=7 is minimal. So return 7.
Note: There will be at least one building. If it is not possible to build such house according to the above rules, return -1.
The question requires BFS to solve, classic, generally need queue.
public class Solution {
public int shortestDistance(int[][] grid) {
//This is a bfs solution, bfs needs queue generally.
int row = grid.length;
if(row == 0) return -1;
int col = grid[0].length;
if(col == 0) return -1;
int buildingNums = 0;
int[][] dis = new int[row][col]; // distance sum of all bulding to dis[x][y];
int[][] num = new int[row][col]; // how many buildings can reach num[x][y]
for(int i=0 ; i< row; i++){
for(int j = 0; j< col; j++){
if(grid[i][j] == 1){
buildingNums++;
bfs(grid, dis, num, i, j);
}
}
}
int min = Integer.MAX_VALUE;
for(int i=0; i<row; i++){
for(int j=0; j<col; j++){
if(grid[i][j] == 0 && dis[i][j] != 0 && num[i][j] == buildingNums){
min = Math.min(min, dis[i][j]);
}
}
}
if(min < Integer.MAX_VALUE) return min;
return -1;
}
private void bfs(int[][] grid, int[][] dis, int[][] num, int x, int y){
int row = grid.length;
int col = grid[0].length;
int[][] neighbor = {{1,0},{-1,0},{0,1},{0,-1}};
Queue<int[]> queue = new LinkedList<>();
queue.offer(new int[]{x, y});
boolean[][] visited = new boolean[row][col];
int dist = 0;
while(!queue.isEmpty()){
dist++;
int size = queue.size();// all size number of node, their neigbors belongs to next dist, which for distance.
for(int i=0 ; i<size; i++){
int[] top = queue.poll();
for(int j=0; j< 4;j++){
int k = top[0] + neighbor[j][0];
int l = top[1] + neighbor[j][1];
if(k>=0 && k< row && l >= 0 && l < col && grid[k][l] == 0 && !visited[k][l]){
visited[k][l] = true;
dis[k][l] += dist;
num[k][l]++;
queue.add(new int[]{k,l});
}
}
}
}
}
}