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📜  以字典顺序查找可以放在N * N棋盘上的非攻击车的位置

📅  最后修改于: 2021-04-27 22:59:51             🧑  作者: Mango

给定一个整数N和一个位置数组arr [] ,该数组表示已经放置的非攻击车的位置,任务是按字典顺序查找可以放置在N * N棋盘上的非攻击车的位置。
嘴鸦的移动任何白嘴鸦都可以水平或垂直移动任意数量的空闲正方形。

例子:

天真的方法:初始化大小为N * N的2D矩阵mat [] [] ,每个单元格的大小为0,并将Rook的初始位置标记为rook,然后遍历矩阵mat [] [],检查是否i行和第nj列中包含任何“ rook”,“保持”“ rook”的数量。如果任何行包含且列两者均不包含任何放置的规则,则将规则放置在此处并将该单元格添加到结果字符串中。
最后,打印放置的车的数量和车的位置

时间复杂度: O(N 3 )
空间复杂度: O(N 2 )

高效方法:这个想法是创建两个N大小的数组,以存储i行或i列是否包含任何流子,现在搜索该行和相应列是否已经包含Rook变得很有效。 。

时间复杂度: O(N 2 )
空间复杂度: O(N)

最有效的方法:问题中的关键观察是,可以放置的最大队列为NK 。也就是说,如果两个菜鸟在同一行或同一列上,则它们会相互攻击。由于给定的白名单中没有两个是相互攻击的,因此输入中给定的所有行都是唯一的。同样,输入中给出的所有列都是唯一的。因此,我们剩下了NK个未使用的行和NK个未使用的列来放置新程序。
换句话说,如果我们尝试用“鸽子洞”原理放更多的NK鸽子,那么如果有N + 1羽鸽子和N个地方需要填补,那么至少一个地方包含多于1羽鸽子。
并找到字典上的最小答案。可以通过将最小的未使用的行与最小的未使用的列配对,第二最小的未使用的行与第二最小的未使用的列配对来实现。
时间复杂度: O(N)

下面是上述方法的实现:

C++
// C++ implementation to find
// count of placing non-attacking
// rooks on the N x N chessboard
#include 
using namespace std;
  
// Function to find the count of
// placing non-attacking rooks
// on the N x N chessboard
void findCountRooks(int row[], int col[], 
                    int n, int k)
{
      
    // Count of the Non-attacking rooks
    int res = n - k;
    cout << res << "\n";
      
    int ri = 0, ci = 0;
      
    while (res-- > 0)
    {
          
        // Printing lexographically
        // smallest configuration
        while (ri < k && row[ri] == 1)
        {
            ri++;
        }
        while (ci < k && col[ci] == 1)
        {
            ci++;
        }
        cout << (ri + 1) << " " 
             << (ci + 1) << "\n";
           
        ri++;
        ci++;
    }
}
  
// Driver Code
int main()
{
    int n = 4;
    int k = 2;
    int row[] = { 1, 2 };
    int col[] = { 4, 2 };
  
    // Function call
    findCountRooks(row, col, n, k);
    return 0;
}
  
// This code is contributed by jana_sayantan


Java
// Java implementation to find
// count of placing non-attacking
// rooks on the N x N chessboard
  
import java.util.Scanner;
  
public class P2Placerooks {
    // Function to find the count of
    // placing non-attacking rooks
    // on the N x N chessboard
    static void findCountRooks(
        int row[], int col[], int n, int k)
    {
  
        // Count of the Non-attacking rooks
        int res = n - k;
        System.out.println(res + " ");
        int ri = 0, ci = 0;
        while (res-- > 0) {
  
            // Printing lexographically
            // smallest configuration
            while (ri < k && row[ri] == 1) {
                ri++;
            }
            while (ci < k && col[ci] == 1) {
                ci++;
            }
            System.out.println((ri + 1)
                               + " " + (ci + 1)
                               + " ");
            ri++;
            ci++;
        }
    }
  
    // Driver Code
    public static void main(String[] args)
    {
        int n = 4;
        int k = 2;
        int row[] = { 1, 2 };
        int col[] = { 4, 2 };
  
        // Function Call
        findCountRooks(row, col, n, k);
    }
}


Python3
# Python3 implementation to find
# count of placing non-attacking
# rooks on the N x N chessboard
  
# Function to find the count of
# placing non-attacking rooks
# on the N x N chessboard
def findCountRooks(row, col, n, k):
      
    # Count of the Non-attacking rooks
    res = n - k
    print(res)
      
    ri = 0
    ci = 0
      
    while (res > 0):
          
        # Printing lexographically
        # smallest configuration
        while (ri < k and row[ri] == 1):
            ri += 1
          
        while (ci < k and col[ci] == 1):
            ci += 1
          
        print((ri + 1), "", (ci + 1))
          
        ri += 1
        ci += 1
        res -= 1
      
# Driver Code
n = 4
k = 2
  
row = [ 1, 2 ]
col = [ 4, 2 ]
  
# Function call
findCountRooks(row, col, n, k)
  
# This code is contributed by sanjoy_62


C#
// C# implementation to find
// count of placing non-attacking
// rooks on the N x N chessboard
using System;
  
class P2Placerooks{
      
// Function to find the count of
// placing non-attacking rooks
// on the N x N chessboard
static void findCountRooks(int []row,
                           int []col,
                           int n, int k)
{
      
    // Count of the Non-attacking rooks
    int res = n - k;
    Console.WriteLine(res + " ");
      
    int ri = 0, ci = 0;
    while (res-- > 0)
    {
          
        // Printing lexographically
        // smallest configuration
        while (ri < k && row[ri] == 1)
        {
            ri++;
        }
        while (ci < k && col[ci] == 1)
        {
            ci++;
        }
        Console.WriteLine((ri + 1) + " " +
                          (ci + 1) + " ");
        ri++;
        ci++;
    }
}
  
// Driver Code
public static void Main(String[] args)
{
    int n = 4;
    int k = 2;
    int []row = { 1, 2 };
    int []col = { 4, 2 };
  
    // Function call
    findCountRooks(row, col, n, k);
}
}
  
// This code is contributed by Rajput-Ji


输出:
2 
2 1 
3 2

性能分析:

  • 时间复杂度: O(N)
  • 辅助空间: O(1)