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📜  删除给定元素后找到最大的

📅  最后修改于: 2021-10-27 09:09:10             🧑  作者: Mango

给定一个整数数组,找出删除给定元素后的最大数。在重复元素的情况下,对于包含要删除的元素的数组中存在的元素的每个实例,删除一个实例。
例子:

方法 :

  • 将哈希映射中所有要从数组中删除的数字插入,以便我们可以在 O(1) 时间内检查数组中的元素是否也存在于 Delete-array 中。
  • 将最大数 max 初始化为 INT_MIN。
  • 遍历数组。检查该元素是否存在于哈希映射中。
  • 如果存在,将其从哈希映射中删除,否则,如果不存在,则将其与 max 变量进行比较,如果元素的值大于最大值,则更改其值。

C++
// C++ program to find the largest number
// from the array after  n deletions
#include "climits"
#include "iostream"
#include "unordered_map"
using namespace std;
 
// Returns maximum element from arr[0..m-1] after deleting
// elements from del[0..n-1]
int findlargestAfterDel(int arr[], int m, int del[], int n)
{
    // Hash Map of the numbers to be deleted
    unordered_map mp;
    for (int i = 0; i < n; ++i) {
 
        // Increment the count of del[i]
        mp[del[i]]++;
    }
 
    // Initializing the largestElement
    int largestElement = INT_MIN;
 
    for (int i = 0; i < m; ++i) {
 
        // Search if the element is present
        if (mp.find(arr[i]) != mp.end()) {
 
            // Decrement its frequency
            mp[arr[i]]--;
 
            // If the frequency becomes 0,
            // erase it from the map
            if (mp[arr[i]] == 0)
                mp.erase(arr[i]);
        }
 
        // Else compare it largestElement
        else
            largestElement = max(largestElement, arr[i]);
    }
 
    return largestElement;
}
 
int main()
{
    int array[] = { 5, 12, 33, 4, 56, 12, 20 };
    int m = sizeof(array) / sizeof(array[0]);
 
    int del[] = { 12, 33, 56, 5 };
    int n = sizeof(del) / sizeof(del[0]);
 
    cout << findlargestAfterDel(array, m, del, n);
    return 0;
}


Java
// Java program to find the largest number
// from the array after n deletions
import java.util.*;
 
class GFG
{
 
// Returns maximum element from arr[0..m-1] after deleting
// elements from del[0..n-1]
static int findlargestAfterDel(int arr[], int m,
                               int del[], int n)
{
    // Hash Map of the numbers to be deleted
    HashMap mp = new HashMap();
    for (int i = 0; i < n; ++i)
    {
 
        // Increment the count of del[i]
        if(mp.containsKey(del[i]))
        {
            mp.put(del[i], mp.get(del[i]) + 1);
        }
        else
        {
            mp.put(del[i], 1);
        }
    }
 
    // Initializing the largestElement
    int largestElement = Integer.MIN_VALUE;
 
    for (int i = 0; i < m; i++)
    {
 
        // Search if the element is present
        if (mp.containsKey(arr[i]))
        {
 
            // Decrement its frequency
            mp.put(arr[i], mp.get(arr[i]) - 1);
 
            // If the frequency becomes 0,
            // erase it from the map
            if (mp.get(arr[i]) == 0)
                mp.remove(arr[i]);
        }
 
        // Else compare it largestElement
        else
            largestElement = Math.max(largestElement, arr[i]);
    }
    return largestElement;
}
 
// Driver Code
public static void main(String[] args)
{
    int array[] = { 5, 12, 33, 4, 56, 12, 20 };
    int m = array.length;
 
    int del[] = { 12, 33, 56, 5 };
    int n = del.length;
 
    System.out.println(findlargestAfterDel(array, m, del, n));   
}
}
 
// This code is contributed by Rajput-Ji


Python3
# Python3 program to find the largest
# number from the array after n deletions
import math as mt
 
# Returns maximum element from arr[0..m-1]
# after deleting elements from del[0..n-1]
def findlargestAfterDel(arr, m, dell, n):
 
    # Hash Map of the numbers
    # to be deleted
    mp = dict()
    for i in range(n):
         
        # Increment the count of del[i]
        if dell[i] in mp.keys():
            mp[dell[i]] += 1
        else:
            mp[dell[i]] = 1
             
    # Initializing the largestElement
    largestElement = -10**9
 
    for i in range(m):
         
        # Search if the element is present
        if (arr[i] in mp.keys()):
             
            # Decrement its frequency
            mp[arr[i]] -= 1
 
            # If the frequency becomes 0,
            # erase it from the map
            if (mp[arr[i]] == 0):
                mp.pop(arr[i])
                 
        # Else compare it largestElement
        else:
            largestElement = max(largestElement,
                                         arr[i])
 
    return largestElement
 
# Driver code
array = [5, 12, 33, 4, 56, 12, 20]
m = len(array)
 
dell = [12, 33, 56, 5]
n = len(dell)
 
print(findlargestAfterDel(array, m, dell, n))
 
# This code is contributed
# by mohit kumar 29


C#
// C# program to find the largest number
// from the array after n deletions
using System;
using System.Collections.Generic;
 
class GFG
{
 
// Returns maximum element from arr[0..m-1]
// after deleting elements from del[0..n-1]
static int findlargestAfterDel(int []arr, int m,
                               int []del, int n)
{
    // Hash Map of the numbers to be deleted
    Dictionary mp = new Dictionary();
    for (int i = 0; i < n; ++i)
    {
 
        // Increment the count of del[i]
        if(mp.ContainsKey(del[i]))
        {
            mp[arr[i]] = mp[arr[i]] + 1;
        }
        else
        {
            mp.Add(del[i], 1);
        }
    }
 
    // Initializing the largestElement
    int largestElement = int.MinValue;
 
    for (int i = 0; i < m; i++)
    {
 
        // Search if the element is present
        if (mp.ContainsKey(arr[i]))
        {
 
            // Decrement its frequency
            mp[arr[i]] = mp[arr[i]] - 1;
 
            // If the frequency becomes 0,
            // erase it from the map
            if (mp[arr[i]] == 0)
                mp.Remove(arr[i]);
        }
 
        // Else compare it largestElement
        else
            largestElement = Math.Max(largestElement,
                                             arr[i]);
    }
    return largestElement;
}
 
// Driver Code
public static void Main(String[] args)
{
    int []array = { 5, 12, 33, 4, 56, 12, 20 };
    int m = array.Length;
 
    int []del = { 12, 33, 56, 5 };
    int n = del.Length;
 
    Console.WriteLine(findlargestAfterDel(array, m, del, n));
}
}
 
// This code is contributed by Princi Singh


Javascript


输出 :

20

时间复杂度– O(N)

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