LeetCode 1139. Largest 1-Bordered Square
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原题链接在这里:https://leetcode.com/problems/largest-1-bordered-square/
题目:
Given a 2D grid
of 0
s and 1
s, return the number of elements in the largest square subgrid that has all 1
s on its border, or 0
if such a subgrid doesn‘t exist in the grid
.
Example 1:
Input: grid = [[1,1,1],[1,0,1],[1,1,1]] Output: 9
Example 2:
Input: grid = [[1,1,0,0]] Output: 1
Constraints:
1 <= grid.length <= 100
1 <= grid[0].length <= 100
grid[i][j]
is0
or1
题解:
For each cell in the grid, calculate its farest reach on top and left direction.
Then starting from l = Math.min(grid.length, grid[0].length) to l = 1, iterate grid to check if square with boarder l exist. If it does return l*l.
Time Complexity: O(m*n*(min(m,n))). m = grid.length. n = grid[0].length.
Space: O(m*n).
AC Java:
1 class Solution { 2 public int largest1BorderedSquare(int[][] grid) { 3 if(grid == null || grid.length == 0 || grid[0].length == 0){ 4 return 0; 5 } 6 7 int m = grid.length; 8 int n = grid[0].length; 9 int [][] top = new int[m][n]; 10 int [][] left = new int[m][n]; 11 for(int i = 0; i<m; i++){ 12 for(int j = 0; j<n; j++){ 13 if(grid[i][j] > 0){ 14 top[i][j] = i == 0 ? 1 : top[i-1][j]+1; 15 left[i][j] = j == 0 ? 1 : left[i][j-1]+1; 16 } 17 } 18 } 19 20 for(int l = Math.min(m, n); l>0; l--){ 21 for(int i = 0; i+l-1<m; i++){ 22 for(int j = 0; j+l-1<n; j++){ 23 if(top[i+l-1][j] >= l 24 && top[i+l-1][j+l-1] >= l 25 && left[i][j+l-1] >= l 26 && left[i+l-1][j+l-1] >= l){ 27 return l*l; 28 } 29 } 30 } 31 } 32 33 return 0; 34 } 35 }
Or after get top and left.
Iterate the grid, for each cell, get small = min(top[i][j], left[i][j]).
All l = small to 1 could be protential square boarder. But we only need to check small larger than global longest boarder since we only care about the largest.
Check top of grid[i][j-small+1] and left of grid[i-small+1][j]. If they are both larger than small, then it is a grid.
Time Complexity: O(n^3).
Space: O(n^2).
AC Java:
1 class Solution { 2 public int largest1BorderedSquare(int[][] grid) { 3 if(grid == null || grid.length == 0 || grid[0].length == 0){ 4 return 0; 5 } 6 7 int m = grid.length; 8 int n = grid[0].length; 9 int [][] top = new int[m][n]; 10 int [][] left = new int[m][n]; 11 for(int i = 0; i<m; i++){ 12 for(int j = 0; j<n; j++){ 13 if(grid[i][j] > 0){ 14 top[i][j] = i == 0 ? 1 : top[i-1][j]+1; 15 left[i][j] = j == 0 ? 1 : left[i][j-1]+1; 16 } 17 } 18 } 19 20 int res = 0; 21 22 for(int i = m-1; i>=0; i--){ 23 for(int j = n-1; j>=0; j--){ 24 int small = Math.min(top[i][j], left[i][j]); 25 while(small > res){ 26 if(top[i][j-small+1] >= small && left[i-small+1][j] >= small){ 27 res = small; 28 break; 29 } 30 31 small--; 32 } 33 } 34 } 35 36 return res*res; 37 } 38 }
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