受Raymond Chen帖子的启发,假设你有一个4x4二维数组,写一个函数使它旋转90度。Raymond链接到伪代码中的解决方案,但我想看到一些真实的东西。

[1][2][3][4]
[5][6][7][8]
[9][0][1][2]
[3][4][5][6]

就变成:

[3][9][5][1]
[4][0][6][2]
[5][1][7][3]
[6][2][8][4]

更新:Nick的答案是最直接的,但是有没有比n²更好的方法呢?如果矩阵是10000x10000呢?


当前回答

哦,伙计。我一直认为这是一个“我很无聊,我能思考什么”的谜题。我想出了我的原地换位码,但到了这里发现你的和我的几乎一模一样……啊,好。这里是Ruby版本。

require 'pp'
n = 10
a = []
n.times { a << (1..n).to_a }

pp a

0.upto(n/2-1) do |i|
  i.upto(n-i-2) do |j|
    tmp             = a[i][j]
    a[i][j]         = a[n-j-1][i]
    a[n-j-1][i]     = a[n-i-1][n-j-1]
    a[n-i-1][n-j-1] = a[j][n-i-1]
    a[j][n-i-1]     = tmp
  end
end

pp a

其他回答

#!/usr/bin/env python

original = [ [1,2,3],
             [4,5,6],
             [7,8,9] ]

# Rotate matrix 90 degrees...
for i in map(None,*original[::-1]):
    print str(i) + '\n'

这导致双方旋转90度(即。123(上面)现在是741(左边)。

这个Python解决方案是可行的,因为它使用了带负步的切片来反转行顺序(将7移到最上面)

original = [ [7,8,9],
             [4,5,6],
             [1,2,3] ]

然后,它使用map(以及隐含的标识函数,这是map以None作为第一个参数的结果)和*按顺序解包所有元素,重新组合列(即。第一个元素一起放在一个元组中,第二个元素一起放在一个元组中,以此类推)。你有效地得到得到返回如下重组:

original = [[7,8,9],
             [4,5,6],
             [1,2,3]]
    public static void rotateMatrix(int[,] matrix)
    {
        //C#, to rotate an N*N matrix in place
        int n = matrix.GetLength(0);
        int layers =  n / 2;
        int temp, temp2;

        for (int i = 0; i < layers; i++) // for a 5 * 5 matrix, layers will be 2, since at layer three there would be only one element, (2,2), and we do not need to rotate it with itself 
        {
            int offset = 0;
            while (offset < n - 2 * i - 1)
            {
                // top right <- top left 
                temp = matrix[i + offset, n - i - 1]; //top right value when offset is zero
                matrix[i + offset, n - i - 1] = matrix[i, i + offset];   

                //bottom right <- top right 
                temp2 = matrix[n - i - 1, n - i - 1 - offset]; //bottom right value when offset is zero
                matrix[n - i - 1, n - i - 1 - offset] = temp;  

                //bottom left <- bottom right 
                temp = matrix[n - i - 1 - offset, i];
                matrix[n - i - 1 - offset, i] = temp2;  

                //top left <- bottom left 
                matrix[i, i + offset] = temp; 

                offset++;
            }
        }
    }

虽然旋转数据可能是必要的(也许是为了更新物理存储的表示),但在数组访问上添加一层间接层(也许是一个接口)会变得更简单,可能更性能:

interface IReadableMatrix
{
    int GetValue(int x, int y);
}

如果你的矩阵已经实现了这个接口,那么它可以通过这样一个装饰器类来旋转:

class RotatedMatrix : IReadableMatrix
{
    private readonly IReadableMatrix _baseMatrix;

    public RotatedMatrix(IReadableMatrix baseMatrix)
    {
        _baseMatrix = baseMatrix;
    }

    int GetValue(int x, int y)
    {
        // transpose x and y dimensions
        return _baseMatrix(y, x);
    }
}

旋转+90/-90/180度,水平/垂直翻转和缩放都可以以这种方式实现。

Performance would need to be measured in your specific scenario. However the O(n^2) operation has now been replaced with an O(1) call. It's a virtual method call which is slower than direct array access, so it depends upon how frequently the rotated array is used after rotation. If it's used once, then this approach would definitely win. If it's rotated then used in a long-running system for days, then in-place rotation might perform better. It also depends whether you can accept the up-front cost.

与所有性能问题一样,测量,测量,测量!

这是我在C中的就地实现

void rotateRight(int matrix[][SIZE], int length) {

    int layer = 0;

    for (int layer = 0; layer < length / 2; ++layer) {

        int first = layer;
        int last = length - 1 - layer;

        for (int i = first; i < last; ++i) {

            int topline = matrix[first][i];
            int rightcol = matrix[i][last];
            int bottomline = matrix[last][length - layer - 1 - i];
            int leftcol = matrix[length - layer - 1 - i][first];

            matrix[first][i] = leftcol;
            matrix[i][last] = topline;
            matrix[last][length - layer - 1 - i] = rightcol;
            matrix[length - layer - 1 - i][first] = bottomline;
        }
    }
}

在Java中

public class Matrix {
/* Author Shrikant Dande */
private static void showMatrix(int[][] arr,int rows,int col){

    for(int i =0 ;i<rows;i++){
        for(int j =0 ;j<col;j++){
            System.out.print(arr[i][j]+" ");
        }
        System.out.println();
    }

}

private static void rotateMatrix(int[][] arr,int rows,int col){

    int[][] tempArr = new int[4][4];
    for(int i =0 ;i<rows;i++){
        for(int j =0 ;j<col;j++){
            tempArr[i][j] = arr[rows-1-j][i];
            System.out.print(tempArr[i][j]+" ");
        }
        System.out.println();
    }

}
public static void main(String[] args) {
    int[][] arr = { {1,  2,  3,  4},
             {5,  6,  7,  8},
             {9,  1, 2, 5},
             {7, 4, 8, 9}};
    int rows = 4,col = 4;

    showMatrix(arr, rows, col);
    System.out.println("------------------------------------------------");
    rotateMatrix(arr, rows, col);

}

}