给定一个整数N(它是4的倍数),任务是找到一个N x N的网格,对于该网格,每一行和每一列的按位xor都相同。
例子:
Input: N = 4
Output:
0 1 2 3
4 5 6 7
8 9 10 11
12 13 14 15
Input: N = 8
Output:
0 1 2 3 16 17 18 19
4 5 6 7 20 21 22 23
8 9 10 11 24 25 26 27
12 13 14 15 28 29 30 31
32 33 34 35 48 49 50 51
36 37 38 39 52 53 54 55
40 41 42 43 56 57 58 59
44 45 46 47 60 61 62 63
方法:解决此问题的方法是将每行和每一列的xor固定为0,因为从0开始的4个连续数字的xor为0。这是一个4 x 4矩阵的示例:
0 ^ 1 ^ 2 ^ 3 = 0
4 ^ 5 ^ 6 ^ 7 = 0
8 ^ 9 ^ 10 ^ 11 = 0
12 ^ 13 ^ 14 ^ 15 = 0
and so on.
如果在上面的示例中注意到,每个行和列的异或为0。现在我们需要以这样的方式放置数字:每个行和列的异或为0。因此,我们可以将N x N矩阵划分为N / 4行和列的较小的4 x 4矩阵,并以每行和列的xor为0的方式填充单元格。
下面是上述方法的实现:
C++
// C++ implementation of the approach
#include
using namespace std;
// Function to find the n x n matrix
// that satisfies the given condition
void findGrid(int n)
{
int arr[n][n];
// Initialize x to 0
int x = 0;
// Divide the n x n matrix into n / 4 matrices
// for each of the n / 4 rows where
// each matrix is of size 4 x 4
for (int i = 0; i < n / 4; i++) {
for (int j = 0; j < n / 4; j++) {
for (int k = 0; k < 4; k++) {
for (int l = 0; l < 4; l++) {
arr[i * 4 + k][j * 4 + l] = x;
x++;
}
}
}
}
// Print the generated matrix
for (int i = 0; i < n; i++) {
for (int j = 0; j < n; j++) {
cout << arr[i][j] << " ";
}
cout << "\n";
}
}
// Driver code
int main()
{
int n = 4;
findGrid(n);
return 0;
}
Java
// Java implementation of the approach
import java.io.*;
class GFG
{
// Function to find the n x n matrix
// that satisfies the given condition
static void findGrid(int n)
{
int [][]arr = new int[n][n];
// Initialize x to 0
int x = 0;
// Divide the n x n matrix into n / 4 matrices
// for each of the n / 4 rows where
// each matrix is of size 4 x 4
for (int i = 0; i < n / 4; i++)
{
for (int j = 0; j < n / 4; j++)
{
for (int k = 0; k < 4; k++)
{
for (int l = 0; l < 4; l++)
{
arr[i * 4 + k][j * 4 + l] = x;
x++;
}
}
}
}
// Print the generated matrix
for (int i = 0; i < n; i++)
{
for (int j = 0; j < n; j++)
{
System.out.print(arr[i][j] + " ");
}
System.out.println(" ");
}
}
// Driver code
public static void main (String[] args)
{
int n = 4;
findGrid(n);
}
}
// This code is contributed by ajit.
Python3
# Python3 implementation of the approach
# Function to find the n x n matrix
# that satisfies the given condition
def findGrid(n):
arr = [[0 for k in range(n)]
for l in range(n)]
# Initialize x to 0
x = 0
# Divide the n x n matrix into n / 4 matrices
# for each of the n / 4 rows where
# each matrix is of size 4 x 4
for i in range(n // 4):
for j in range(n // 4):
for k in range(4):
for l in range(4):
arr[i * 4 + k][j * 4 + l] = x
x += 1
# Print the generated matrix
for i in range(n):
for j in range(n):
print(arr[i][j], end = " ")
print()
# Driver code
n = 4
findGrid(n)
# This code is contributed by divyamohan123
C#
// C# implementation of the approach
using System;
class GFG
{
// Function to find the n x n matrix
// that satisfies the given condition
static void findGrid(int n)
{
int [,]arr = new int[n, n];
// Initialize x to 0
int x = 0;
// Divide the n x n matrix into n / 4 matrices
// for each of the n / 4 rows where
// each matrix is of size 4 x 4
for (int i = 0; i < n / 4; i++)
{
for (int j = 0; j < n / 4; j++)
{
for (int k = 0; k < 4; k++)
{
for (int l = 0; l < 4; l++)
{
arr[i * 4 + k, j * 4 + l] = x;
x++;
}
}
}
}
// Print the generated matrix
for (int i = 0; i < n; i++)
{
for (int j = 0; j < n; j++)
{
Console.Write(arr[i, j] + " ");
}
Console.WriteLine(" ");
}
}
// Driver code
public static void Main (String[] args)
{
int n = 4;
findGrid(n);
}
}
// This code is contributed by PrinciRaj1992
输出:
0 1 2 3
4 5 6 7
8 9 10 11
12 13 14 15
时间复杂度: O(N 2 )