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📜  计算可以从数组中选择的最大元素数

📅  最后修改于: 2021-04-30 03:02:02             🧑  作者: Mango

给定数组arr [] ,任务是按照以下选择过程计算可以从给定数组中选择的最大元素数:

  • 第一个选择中,选择一个大于或等于1的元素。
  • 第二选择中,选择一个大于或等于2的元素。
  • 第3个选择中,选择一个大于或等于3的元素,依此类推。

一个元素只能选择一次。当无法选择任何元素时,操作停止。因此,任务是最大化从阵列中进行选择的次数。

例子:

方法:为了最大程度地增加选择的数量,有必要先选择尽可能小的数字,然后再选择更大的数字(如果无法选择)。通过对数组进行排序,可以轻松完成此操作。现在,遍历数组,当元素大于或等于要为当前操作选择的数字时,将结果加1。

下面是上述方法的实现:

C++
// C++ implementation of the approach
#include 
using namespace std;
  
// Function to return the maximum count of 
// selection possible from the given array 
// following the given process
int maxSelectionCount(int a[], int n)
{
    // Initialize result
    int res = 0;
  
    // Sorting the array
    sort(a, a + n);
  
    // Initialize the select variable
    int select = 1;
  
    // Loop through array
    for (int i = 0; i < n; i++) {
        // If selection is possible
        if (a[i] >= select) {
            res++; // Increment result
            select++; // Increment selection variable
        }
    }
  
    return res;
}
  
// Driver Code
int main()
{
    int arr[] = { 4, 2, 1, 3, 5, 1, 4 };
  
    int N = sizeof(arr) / sizeof(arr[0]);
  
    cout << maxSelectionCount(arr, N);
  
    return 0;
}


Java
// Java implementation of the approach
import java.util.*;
  
class GFG 
{
  
    // Function to return the maximum count of 
    // selection possible from the given array 
    // following the given process
    static int maxSelectionCount(int a[], int n) 
    {
        // Initialize result
        int res = 0;
  
        // Sorting the array
        Arrays.sort(a);
  
        // Initialize the select variable
        int select = 1;
  
        // Loop through array
        for (int i = 0; i < n; i++)
        {
            // If selection is possible
            if (a[i] >= select) 
            {
                res++; // Increment result
                select++; // Increment selection variable
            }
        }
  
        return res;
    }
  
    // Driver Code
    public static void main(String[] args)
    {
        int arr[] = {4, 2, 1, 3, 5, 1, 4};
  
        int N = arr.length;
  
        System.out.println(maxSelectionCount(arr, N));
    }
}
  
// This code contributed by Rajput-Ji


Python3
# Python implementation of the approach
  
# Function to return the maximum count of 
# selection possible from the given array 
# following the given process
def maxSelectionCount(a, n):
    # Initialize result
    res = 0;
  
    # Sorting the array
    a.sort();
  
    # Initialize the select variable
    select = 1;
  
    # Loop through array
    for i in range(n):
        # If selection is possible
        if (a[i] >= select):
            res += 1; # Increment result
            select += 1; # Increment selection variable
  
    return res;
  
  
# Driver Code
arr = [ 4, 2, 1, 3, 5, 1, 4 ];
N = len(arr);
print(maxSelectionCount(arr, N));
  
# This code contributed by PrinciRaj1992


C#
// C# implementation of the approach 
using System;
  
class GFG 
{ 
    // Function to return the maximum count of 
    // selection possible from the given array 
    // following the given process 
    static int maxSelectionCount(int []a, int n) 
    { 
        // Initialize result 
        int res = 0; 
  
        // Sorting the array 
        Array.Sort(a); 
  
        // Initialize the select variable 
        int select = 1; 
  
        // Loop through array 
        for (int i = 0; i < n; i++) 
        { 
            // If selection is possible 
            if (a[i] >= select) 
            { 
                res++; // Increment result 
                select++; // Increment selection variable 
            } 
        } 
  
        return res; 
    } 
  
    // Driver Code 
    public static void Main() 
    { 
        int []arr = {4, 2, 1, 3, 5, 1, 4}; 
  
        int N = arr.Length; 
  
        Console.WriteLine(maxSelectionCount(arr, N)); 
    } 
} 
  
// This code contributed by AnkitRai01


输出:
5