在数组之一中获得多数元素所需的相同索引元素的最小交换

给定两个长度为N 的数组arr[]和brr[] ，任务是找到所需的相同索引元素的最小交换次数，这样的元素至少出现在数组arr[]中的索引的一半，即多数元素.如果不可能获得这样的安排，则打印“-1” 。

例子：

Input: arr[] = {3, 2, 1, 4, 9}, brr[] = {5, 5, 3, 5, 3}
Output: 2
Explanation:
Following are the swaps required:
Swap 1: Swapping arr[1] and brr[1] modifies arr[] to {3, 2, 3, 4, 9} and brr[] to {5, 5, 1, 5, 3}.
Swap 2: Swapping arr[5] and brr[5] modifies arr[] to {3, 2, 3, 4, 3} and brr[] to {5, 5, 1, 5, 9}.
Therefore, the total number of swaps required is 2.

Input: arr[] = {2, 4, 2}, brr[] = {1, 2, 9}
Output: 0

处理方法：按照以下步骤解决上述问题：

• 将变量res初始化为 INT_MAX，用于存储所需的最小交换。
• 使用散列法找到数组 a[] 和 b[] 元素的频率计数，并将其分别存储在映射A和B 中。
• 创建一个大小为2*N的数组crr[]来存储数组arr[]和brr[] 中的所有元素。
• 使用变量i遍历数组crr[]并执行以下操作：
  • 如果映射A中crr[i]的频率至少为N/2，则所需的最小交换为0并跳出循环并打印0 。
  • 如果映射A和B中crr[i]的频率之和至少为N/2，则将res更新为res和(N/2 – A[crr[i]]) 的最小值。
• 经过以上步骤，如果res的值仍然是INT_MAX ，则打印“-1” 。

下面是上述方法的实现：

C++

// C++ program for the above approach
#include 
using namespace std;
 
// Function that counts the minimum
// number of swaps required to make
// half of the element same in a[]
int minMoves(int a[], int b[], int n)
{
 
    // Stores frequency of elements in a[]
    // Stores frequency of elements in b[]
    unordered_map A, B;
 
    // Stores all elements from both arrays
    vector c;
 
    // Find the maximum occurrence
    // required
    int maxOccur = ceil(floor(n)
                        / (2 * 1.0));
 
    for (int i = 0; i < n; ++i) {
 
        c.push_back(a[i]);
        c.push_back(b[i]);
 
        A[a[i]]++;
 
        // If a[i] == b[i], then no need
        // of incrementing in map B
        if (b[i] != a[i]) {
            B[b[i]]++;
        }
    }
 
    // Store the minimum number of swaps
    int res = INT_MAX;
 
    for (int i = 0; i < c.size(); ++i) {
        // Frequency of c[i] in array a
        int x = A];
 
        // Frequency of c[i] in array b
        int y = B];
 
        // Check the frequency condition
        if ((x + y) >= maxOccur) {
 
            // if c[i] is present at
            // least half times in array
            // a[], then 0 swaps required
            if (x >= maxOccur) {
                return 0;
            }
 
            // maxOccur - x is the count
            // of swaps needed to make
            // c[i] the majority element
            else {
                res = min(res, maxOccur - x);
            }
        }
    }
 
    // If not possible
    if (res == INT_MAX) {
        return -1;
    }
 
    // Otherwise
    else
        return res;
}
 
// Driver Code
int main()
{
 
    // Given arrays a[] and b[]
    int arr[] = { 3, 2, 1, 4, 9 };
    int brr[] = { 5, 5, 3, 5, 3 };
 
    int N = sizeof(arr) / sizeof(arr[0]);
 
    // Function Call
    cout << minMoves(arr, brr, N);
 
    return 0;
}

Java

// Java program for the
// above approach
import java.util.*;
class Main{
     
// Function that counts the minimum
// number of swaps required to make
// half of the element same in a[]
public static int minMoves(int a[],
                           int b[],
                           int n)
{
  // Stores frequency of elements
  // in a[]
  // Stores frequency of elements
  // in b[]
  HashMap A =
          new HashMap<>();
  HashMap B =
          new HashMap<>();
 
  // Stores all elements from
  // both arrays
  Vector c =
         new Vector();
 
  // Find the maximum occurrence
  // required
  int maxOccur = (int)Math.ceil(
                 (int)Math.floor(n) /
                 (2 * 1.0));
 
  for (int i = 0; i < n; ++i)
  {
    c.add(a[i]);
    c.add(b[i]);
 
    if(A.containsKey(a[i]))
    {
      A.replace(a[i],
      A.get(a[i]) + 1);
    }
    else
    {
      A.put(a[i], 1);
    }
 
    // If a[i] == b[i], then no need
    // of incrementing in map B
    if (b[i] != a[i])
    {
      if(B.containsKey(b[i]))
      {
        B.replace(b[i],
        B.get(b[i]) + 1);
      }
      else
      {
        B.put(b[i], 1);
      }
    }
  }
 
  // Store the minimum number
  // of swaps
  int res = Integer.MAX_VALUE;
 
  for (int i = 0; i < c.size(); ++i)
  {
    // Frequency of c[i] in array a
    int x = 0;
    if(A.containsKey(c.get(i)))
    {
      x = A.get(c.get(i));  
    }
 
    // Frequency of c[i] in array b
    int y = 0;
    if(B.containsKey(c.get(i)))
    {
      y = B.get(c.get(i));  
    }
 
    // Check the frequency
    // condition
    if ((x + y) >= maxOccur)
    {
      // if c[i] is present at
      // least half times in array
      // a[], then 0 swaps required
      if (x >= maxOccur)
      {
        return 0;
      }
 
      // maxOccur - x is the count
      // of swaps needed to make
      // c[i] the majority element
      else
      {
        res = Math.min(res,
                       maxOccur - x);
      }
    }
  }
 
  // If not possible
  if (res == Integer.MAX_VALUE)
  {
    return -1;
  }
 
  // Otherwise
  else
    return res;
}
 
// Driver code
public static void main(String[] args)
{
  // Given arrays a[] and b[]
  int arr[] = {3, 2, 1, 4, 9};
  int brr[] = {5, 5, 3, 5, 3};
 
  int N = arr.length;
 
  // Function Call
  System.out.println(minMoves(arr, brr, N));
}
}
 
// This code is contributed by divyeshrabadiya07

Python3

# Python3 program for the above approach
from math import ceil, floor
import sys
 
# Function that counts the minimum
# number of swaps required to make
# half of the element same in a[]
def minMoves(a, b, n):
     
    # Stores frequency of elements in a[]
    # Stores frequency of elements in b[]
    A, B = {}, {}
     
    # Stores all elements from both arrays
    c = []
     
    # Find the maximum occurrence
    # required
    maxOccur = ceil(floor(n) / (2 * 1.0))
     
    for i in range(n):
        c.append(a[i])
        c.append(b[i])
 
        A[a[i]] = A.get(a[i], 0) + 1
         
        # If a[i] == b[i], then no need
        # of incrementing in map B
        if (b[i] != a[i]):
            B[b[i]] = B.get(b[i], 0) + 1
             
    # Store the minimum number of swaps
    res = sys.maxsize
     
    for i in range(len(c)):
         
        # Frequency of c[i] in array a
        x, y = 0, 0
        if c[i] in A:
            x = A]
             
        # Frequency of c[i] in array b
        if c[i] in B:
            y = B]
 
        # Check the frequency condition
        if ((x + y) >= maxOccur):
             
            # If c[i] is present at
            # least half times in array
            # a[], then 0 swaps required
            if (x >= maxOccur):
                return 0
                 
            # maxOccur - x is the count
            # of swaps needed to make
            # c[i] the majority element
            else:
                res = min(res, maxOccur - x)
                 
    # If not possible
    if (res == sys.maxsize):
        return -1
 
    # Otherwise
    else:
        return res
         
# Driver Code
if __name__ == '__main__':
     
    # Given arrays a[] and b[]
    arr = [ 3, 2, 1, 4, 9 ]
    brr = [ 5, 5, 3, 5, 3 ]
 
    N = len(arr)
 
    # Function Call
    print(minMoves(arr, brr, N))
 
# This code is contributed by mohit kumar 29

C#

// C# program for the
// above approach
using System;
using System.Collections.Generic;
 
class GFG{
     
// Function that counts the minimum
// number of swaps required to make
// half of the element same in []a
public static int minMoves(int []a,
                           int []b,
                           int n)
{
   
  // Stores frequency of elements
  // in []a
  // Stores frequency of elements
  // in []b
  Dictionary A = new Dictionary();
  Dictionary B = new Dictionary();
   
  // Stores all elements from
  // both arrays
  List c = new List();
 
  // Find the maximum occurrence
  // required
  int maxOccur = (int)(Math.Ceiling(
                 (int)(Math.Floor(
                 (double)n)) / (2 * 1.0)));
 
  for(int i = 0; i < n; ++i)
  {
    c.Add(a[i]);
    c.Add(b[i]);
 
    if (A.ContainsKey(a[i]))
    {
      A[a[i]] = A[a[i]] + 1;
    }
    else
    {
      A.Add(a[i], 1);
    }
 
    // If a[i] == b[i], then no need
    // of incrementing in map B
    if (b[i] != a[i])
    {
      if (B.ContainsKey(b[i]))
      {
        B[b[i]]++;
      }
      else
      {
        B.Add(b[i], 1);
      }
    }
  }
 
  // Store the minimum number
  // of swaps
  int res = int.MaxValue;
 
  for(int i = 0; i < c.Count; ++i)
  {
     
    // Frequency of c[i] in array a
    int x = 0;
    if (A.ContainsKey(c[i]))
    {
      x = A];  
    }
 
    // Frequency of c[i] in array b
    int y = 0;
    if (B.ContainsKey(c[i]))
    {
      y = B];  
    }
 
    // Check the frequency
    // condition
    if ((x + y) >= maxOccur)
    {
       
      // If c[i] is present at
      // least half times in array
      // []a, then 0 swaps required
      if (x >= maxOccur)
      {
        return 0;
      }
 
      // maxOccur - x is the count
      // of swaps needed to make
      // c[i] the majority element
      else
      {
        res = Math.Min(res,
                       maxOccur - x);
      }
    }
  }
 
  // If not possible
  if (res == int.MaxValue)
  {
    return -1;
  }
 
  // Otherwise
  else
    return res;
}
 
// Driver code
public static void Main(String[] args)
{
   
  // Given arrays []a and []b
  int []arr = { 3, 2, 1, 4, 9 };
  int []brr = { 5, 5, 3, 5, 3 };
   
  int N = arr.Length;
 
  // Function Call
  Console.WriteLine(minMoves(arr, brr, N));
}
}
 
// This code is contributed by Princi Singh

Javascript

 
// Javascript program for the above approach
 
// Function that counts the minimum
// number of swaps required to make
// half of the element same in a[]
function minMoves(a, b, n)
{
 
    // Stores frequency of elements in a[]
    // Stores frequency of elements in b[]
    var A = new Map(), B = new Map();
 
    // Stores all elements from both arrays
    var c = [];
 
    // Find the maximum occurrence
    // required
    var maxOccur = Math.ceil(Math.floor(n)
                        / (2 * 1.0));
 
    for (var i = 0; i < n; ++i) {
 
        c.push(a[i]);
        c.push(b[i]);
 
        if(A.has(a[i]))
        {
            A.set(a[i], A.get(a[i])+1);
        }
        else
        {
            A.set(a[i], 1);
        }
 
        // If a[i] == b[i], then no need
        // of incrementing in map B
        if (b[i] != a[i]) {
            if(B.has(b[i]))
            {
                B.set(b[i], B.get(b[i])+1);
            }
            else
            {
                B.set(b[i], 1);
            }
 
        }
    }
 
    // Store the minimum number of swaps
    var res = 1000000000;
 
    for (var i = 0; i < c.length; ++i) {
        // Frequency of c[i] in array a
        var x = A.get(c[i]);
 
        // Frequency of c[i] in array b
        var y = B.get(c[i]);
 
        // Check the frequency condition
        if ((x + y) >= maxOccur) {
 
            // if c[i] is present at
            // least half times in array
            // a[], then 0 swaps required
            if (x >= maxOccur) {
                return 0;
            }
 
            // maxOccur - x is the count
            // of swaps needed to make
            // c[i] the majority element
            else {
                res = Math.min(res, maxOccur - x);
            }
        }
    }
 
    // If not possible
    if (res == 1000000000) {
        return -1;
    }
 
    // Otherwise
    else
        return res;
}
 
// Driver Code
// Given arrays a[] and b[]
var arr = [3, 2, 1, 4, 9];
var brr = [5, 5, 3, 5, 3];
var N = arr.length;
// Function Call
document.write( minMoves(arr, brr, N));
 

输出：

2

时间复杂度： O(N)
辅助空间： O(N)

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