Given a m x n matrix, if an element is 0, set its entire row and column to 0. Do it in place.
Follow up:
Did you use extra space?
A straight forward solution using O(mn) space is probably a bad idea.
A simple improvement uses O(m + n) space, but still not the best solution.
Could you devise a constant space solution?
public class Solution {
public void setZeroes(int[][] matrix) {
// Start typing your Java solution below
// DO NOT write main() function
int m = matrix.length;
if(m == 0)
return;
int n = matrix[0].length;
if(n == 0)
return;
boolean row0 = false;
boolean col0 = false;
for(int i = 0; i < m; i++){
if(matrix[i][0] == 0)
col0 = true;
}
for(int j = 0; j < n; j++){
if(matrix[0][j] == 0)
row0 = true;
}
for(int i = 1; i < m; i++){
for(int j = 1; j < n; j++){
if(matrix[i][j] == 0){
matrix[i][0] = 0;
matrix[0][j] = 0;
}
}
}
for(int i = 1; i < m; i++){
for(int j = 1; j < n; j++){
if(matrix[i][0] == 0 || matrix[0][j] == 0)
matrix[i][j] = 0;
}
}
if(col0){
for(int i = 0; i < m; i++)
matrix[i][0] = 0;
}
if(row0){
for(int j = 0; j < n; j++)
matrix[0][j] = 0;
}
}
}

本文介绍了一种高效的算法,用于处理给定的m x n矩阵:当矩阵中某个元素为0时,将其所在行和列的所有元素置为0。该算法通过使用额外的布尔变量标记首行和首列是否需要置零,避免了使用额外的空间,实现了常数空间复杂度。
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