题目在这里 https://leetcode.com/problems/rotate-image/

【个人分析】

  这个题目,我觉得就是考察基本功、考察细心的,算法方面没有太多东西,但是对于坐标的使用有较高要求。

放了两个版本的答案,第一个版本是自己写的,第二个是目前最佳答案的Java改写。

【代码注释】

Solution1: 思路比较直接。既然要求in-place,那就在修改之前,先保存原先在那个位置上的值,然后尾巴咬尾巴的去修改;大意可以参考下图

Solution2: 偏数学的方法,先把矩阵“上下对调”: 第一行和最后一行换,第二行和倒数第二行换。然后再镜像交换,第 i 行第 j 列的数和第 j 行第 i 列的数字交换。

 public class Solution {
/**
* 1 2 3 4 13 9 5 1 13 9 5 1
* 5 6 7 8 outer loop 14 6 7 2 inner loop 14 10 6 2
* 9 10 11 12 ============> 15 10 11 3 ============> 15 11 7 3
* 13 14 15 16 16 12 8 4 16 12 8 4
* @param matrix
*/
public void rotate(int[][] matrix) {
int n = matrix.length;
if (n == 0) {
return;
}
int half = n / 2;
// for each loop
for (int i = 0; i < half; i++) {
int startIndex = i;
int endIndex = startIndex + (n - 2 * i) - 1;
// in one row, we leave the last number unchanged
// so it is j < endIndex, not j <= endIndex
for (int offset = 0; startIndex + offset < endIndex ; offset++) {
// number in the first row
int temp1 = matrix[startIndex][startIndex + offset];
// number in the last column
int temp2 = matrix[startIndex + offset][endIndex];
// number in the last row
int temp3 = matrix[endIndex][endIndex - offset];
// number in the first column
int temp4 = matrix[endIndex - offset][startIndex]; matrix[startIndex][startIndex + offset] = temp4;
matrix[startIndex + offset][endIndex] = temp1;
matrix[endIndex][endIndex - offset] = temp2;
matrix[endIndex - offset][startIndex] = temp3; }
} }
}

Solution2:

 public class Solution {
/**
* First reverse top-bottom, then reverse symmetry
* 1 2 3 7 8 9 7 4 1
* 4 5 6 ==> 4 5 6 ==> 8 5 2
* 7 8 9 1 2 3 9 6 3
* @param matrix
*/
public void rotate(int[][] matrix) {
int n = matrix.length;
int middle = n / 2;
// reverse top-bottom, swap the ith row with (n-i)th row
for (int i = 0; i < middle; i++) {
for (int j = 0; j < n; j++) {
int temp = matrix[i][j];
matrix[i][j] = matrix[n - 1 - i][j];
matrix[n - 1 - i][j] = temp;
}
} // swap symmetry
for (int i = 0; i < n; i++) {
for (int j = i + 1; j < n; j++) {
int temp = matrix[i][j];
matrix[i][j] = matrix[j][i];
matrix[j][i] = temp;
} } } }

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