本文概述
- C ++
- Java
- Python3
- C#
例子:
输入:N = 4方法:要解决此问题, 请修复异或由于从0开始的4个连续数字的异或为0, 因此每一行和每一列的0为0。这是一个4 x 4矩阵的示例:
输出:
0 1 2 3
4 5 6 7
8 9 10 11
12 13 14 15
输入:N = 8
输出:
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
0 ^ 1 ^ 2 ^ 3 = 0如果你在上面的示例中注意到, 每一行和每一列的xor为0。现在我们需要以这样的方式放置数字:每一行和每一列的xor为0。因此我们可以将N x N矩阵变成较小的4 x 4矩阵N/4行和列, 并以每行和列的xor为0的方式填充单元格。
4 ^ 5 ^ 6 ^ 7 = 0
8 ^ 9 ^ 10 ^ 11 = 0
12 ^ 13 ^ 14 ^ 15 = 0等。
下面是上述方法的实现:
C ++
//C++ implementation of the approach
#include <
bits/stdc++.h>
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
输出如下:
0 1 2 3
4 5 6 7
8 9 10 11
12 13 14 15
【查找一个N x N网格,其每行和每列的xor相等】时间复杂度:O(n^2)
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