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);

}

}

PHP解决方案为顺时针和逆时针

$aMatrix = array(
    array( 1, 2, 3 ),
    array( 4, 5, 6 ),
    array( 7, 8, 9 )
    );

function CounterClockwise( $aMatrix )
{
    $iCount  = count( $aMatrix );
    $aReturn = array();
    for( $y = 0; $y < $iCount; ++$y )
    {
        for( $x = 0; $x < $iCount; ++$x )
        {
            $aReturn[ $iCount - $x - 1 ][ $y ] = $aMatrix[ $y ][ $x ];
        }
    }
    return $aReturn;
}

function Clockwise( $aMatrix )
{
    $iCount  = count( $aMatrix );
    $aReturn = array();
    for( $y = 0; $y < $iCount; ++$y )
    {
        for( $x = 0; $x < $iCount; ++$x )
        {
            $aReturn[ $x ][ $iCount - $y - 1 ] = $aMatrix[ $y ][ $x ];
        }
    }
    return $aReturn;
}

function printMatrix( $aMatrix )
{
    $iCount = count( $aMatrix );
    for( $x = 0; $x < $iCount; ++$x )
    {
        for( $y = 0; $y < $iCount; ++$y )
        {
            echo $aMatrix[ $x ][ $y ];
            echo " ";
        }
        echo "\n";
    }
}
printMatrix( $aMatrix );
echo "\n";
$aNewMatrix = CounterClockwise( $aMatrix );
printMatrix( $aNewMatrix );
echo "\n";
$aNewMatrix = Clockwise( $aMatrix );
printMatrix( $aNewMatrix );

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

#转置是Ruby的Array类的标准方法，因此:

% irb
irb(main):001:0> m = [[1, 2, 3, 4], [5, 6, 7, 8], [9, 0, 1, 2], [3, 4, 5, 6]]
=> [[1, 2, 3, 4], [5, 6, 7, 8], [9, 0, 1, 2], [3, 4, 5, 6]] 
irb(main):002:0> m.reverse.transpose
=> [[3, 9, 5, 1], [4, 0, 6, 2], [5, 1, 7, 3], [6, 2, 8, 4]]

实现是一个用c写的n^2转置函数，你可以在这里看到: http://www.ruby-doc.org/core-1.9.3/Array.html#method-i-transpose 通过选择“点击切换源”旁边的“转置”。

我记得比O(n^2)的解更好，但只适用于特殊构造的矩阵(如稀疏矩阵)

这是我对矩阵90度旋转的尝试，这是c中的2步解决方案，首先转置矩阵，然后交换cols。

#define ROWS        5
#define COLS        5

void print_matrix_b(int B[][COLS], int rows, int cols) 
{
    for (int i = 0; i <= rows; i++) {
        for (int j = 0; j <=cols; j++) {
            printf("%d ", B[i][j]);
        }
        printf("\n");
    }
}

void swap_columns(int B[][COLS], int l, int r, int rows)
{
    int tmp;
    for (int i = 0; i <= rows; i++) {
        tmp = B[i][l];
        B[i][l] = B[i][r];
        B[i][r] = tmp;
    }
}


void matrix_2d_rotation(int B[][COLS], int rows, int cols)
{
    int tmp;
    // Transpose the matrix first
    for (int i = 0; i <= rows; i++) {
        for (int j = i; j <=cols; j++) {
            tmp = B[i][j];
            B[i][j] = B[j][i];
            B[j][i] = tmp;
        }
    }
    // Swap the first and last col and continue until
    // the middle.
    for (int i = 0; i < (cols / 2); i++)
        swap_columns(B, i, cols - i, rows);
}



int _tmain(int argc, _TCHAR* argv[])
{
    int B[ROWS][COLS] = { 
                  {1, 2, 3, 4, 5}, 
                      {6, 7, 8, 9, 10},
                          {11, 12, 13, 14, 15},
                          {16, 17, 18, 19, 20},
                          {21, 22, 23, 24, 25}
                        };

    matrix_2d_rotation(B, ROWS - 1, COLS - 1);

    print_matrix_b(B, ROWS - 1, COLS -1);
    return 0;
}

从线性的角度来看，考虑以下矩阵:

    1 2 3        0 0 1
A = 4 5 6    B = 0 1 0
    7 8 9        1 0 0

现在求A

     1 4 7
A' = 2 5 8
     3 6 9

考虑A'对B的作用，或B对A'的作用。 分别为:

      7 4 1          3 6 9
A'B = 8 5 2    BA' = 2 5 8
      9 6 3          1 4 7

这对任何nxn矩阵都是可展开的。 在代码中快速应用这个概念:

void swapInSpace(int** mat, int r1, int c1, int r2, int c2)
{
    mat[r1][c1] ^= mat[r2][c2];
    mat[r2][c2] ^= mat[r1][c1];
    mat[r1][c1] ^= mat[r2][c2];
}

void transpose(int** mat, int size)
{
    for (int i = 0; i < size; i++)
    {
        for (int j = (i + 1); j < size; j++)
        {
            swapInSpace(mat, i, j, j, i);
        }
    }
}

void rotate(int** mat, int size)
{
    //Get transpose
    transpose(mat, size);

    //Swap columns
    for (int i = 0; i < size / 2; i++)
    {
        for (int j = 0; j < size; j++)
        {
            swapInSpace(mat, i, j, size - (i + 1), j);
        }
    }
}