matrix):#思路2,时间复杂度O(n^2),空间复杂度O(1)n =len(matrix)foriinrange(n):forjinrange(n-i):#沿着副对角线反转matrix[i][j], matrix[n-1-j][n-1-i] = matrix[n-1-j][n-1-i], matrix[i][j]foriinrange(n/2):#沿着水平中线反转matrix[i], matrix[...
1matrix[:] = matrix[::-1] # 记住要用matrix[:], 不然更改的不对2#matrix = matrix[::-1]3foriinrange(len(matrix)):4forjinrange(i+1, len(matrix)):5matrix[i][j], matrix[j][i] = matrix[j][i], matrix[i][j] /* *anticlockwise rotate*first reverse left to right, then swap ...
You are given annxn2D matrix representing an image. Rotate the image by 90 degrees (clockwise). Note: You have to rotate the image in-place, which means you have to modify the input 2D matrix directly.DO NOTallocate another 2D matrix and do the rotation. Example 1: Given...
void rotate(vector<vector<int> &matrix) { if (matrix.empty()) return; int rows = int(matrix.size()); int cell = 0; //上下对折 for (int i = 0; i < rows / 2; ++i) { for (int j = 0; j < rows; ++j) { cell = matrix[i][j]; matrix[i][j] = matrix[rows - i -...
*/ public class RotateMatrix { /** * Main method * * @param args * @throws Exception */ public static void main(String[] args) throws Exception { int[][] A = {{1, 2, 3}, {4, 5, 6}, {7, 8, 9}}; new RotateMatrix().rotate(A); for (int i = 0; i < A.length; ...
Problem # You are given an n x n 2D matrix representing an image. # # Rotate the image by 90 degrees (clockwise). # # Note: # You have to rotate the image in-pl...
matrixRotate.JPG publicclassRotateMatrix{publicstaticvoidmain(String[]args){int[][]grid0=newint[][]{{1,2,3,4,5},{6,7,8,9,10},{11,12,13,14,15}};int[][]grid90=RotateNinetyDegree(grid0);int[][]grid180=RotateNinetyDegree(grid90);int[][]grid270=RotateNinetyDegree(grid180);print...
Leetcode: Rotate Image 题目: You are given an n x n 2D matrix representing an image. Rotate the image by 90 degrees (clockwise). Follow up: Could you do this in-place? 思路分析: 最笨的方法,重新开辟一个矩阵空间,做旋转。(题目要求最好能就地旋转) 更好的方法:先将矩阵上下对折,然后再沿...
you can stream the user data to a S3 bucket. You can perform the matrix analysis on a nightly basis, precompute the entire set of recommendations on a per user basis, and store this in a inmemory database such as Redis. Then you could build a REST API that would query the ...
you can stream the user data to a S3 bucket. You can perform the matrix analysis on a nightly basis, precompute the entire set of recommendations on a per user basis, and store this in a inmemory database such as Redis. Then you could build a REST API that would query the ...