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📜  根据给定的容量条件可以得到的数组元素的最大可能值

📅  最后修改于: 2022-05-13 01:56:10.292000             🧑  作者: Mango

根据给定的容量条件可以得到的数组元素的最大可能值

给定两个数组arr[]cap[]都由N个正整数组成,使得第i元素cap[i]表示arr[i]的容量,任务是找到数组元素的最大可能值,可以是如果相邻元素的最终值不超过其相应的容量,则允许将数组元素arr[i]减少某个任意值,并将其任何相邻元素增加相同的值。

例子:

方法:给定的问题可以通过使用贪心方法来解决,该方法基于观察到在执行任意数量的操作后最大值不能超过 cap[] 中的最大容量。因此答案将是min(所有数组元素的总和 , cap[] 中的最大容量)

下面是上述方法的实现:

C++
// C++ program for the above approach
#include 
using namespace std;
 
// Function to find the maximum element
// after shifting operations in arr[]
int maxShiftArrayValue(int arr[], int cap[],
                       int N)
{
    // Stores the sum of array element
    int sumVals = 0;
    for (int i = 0; i < N; i++) {
        sumVals += arr[i];
    }
 
    // Stores the maximum element in cap[]
    int maxCapacity = 0;
 
    // Iterate to find maximum element
    for (int i = 0; i < N; i++) {
        maxCapacity = max(cap[i], maxCapacity);
    }
 
    // Return the resultant maximum value
    return min(maxCapacity, sumVals);
}
 
// Driver Code
int main()
{
    int arr[] = { 2, 3 };
    int cap[] = { 5, 6 };
    int N = sizeof(arr) / sizeof(arr[0]);
 
    cout << maxShiftArrayValue(arr, cap, N);
 
    return 0;
}


Java
// Java program for the above approach
class GFG
{
   
    // Function to find the maximum element
    // after shifting operations in arr[]
    public static int maxShiftArrayValue(int arr[], int cap[], int N)
    {
       
        // Stores the sum of array element
        int sumVals = 0;
        for (int i = 0; i < N; i++) {
            sumVals += arr[i];
        }
 
        // Stores the maximum element in cap[]
        int maxCapacity = 0;
 
        // Iterate to find maximum element
        for (int i = 0; i < N; i++) {
            maxCapacity = Math.max(cap[i], maxCapacity);
        }
 
        // Return the resultant maximum value
        return Math.min(maxCapacity, sumVals);
    }
 
    // Driver Code
    public static void main(String args[]) {
        int arr[] = { 2, 3 };
        int cap[] = { 5, 6 };
        int N = arr.length;
 
        System.out.println(maxShiftArrayValue(arr, cap, N));
    }
}
 
// This code is contributed by gfgking.


Python3
# Python 3 program for the above approach
 
# Function to find the maximum element
# after shifting operations in arr[]
def maxShiftArrayValue(arr, cap, N):
   
    # Stores the sum of array element
    sumVals = 0
    for i in range(N):
        sumVals += arr[i]
 
    # Stores the maximum element in cap[]
    maxCapacity = 0
 
    # Iterate to find maximum element
    for i in range(N):
        maxCapacity = max(cap[i], maxCapacity)
 
    # Return the resultant maximum value
    return min(maxCapacity, sumVals)
 
# Driver Code
if __name__ == '__main__':
    arr  = [2, 3]
    cap  = [5, 6]
    N = len(arr)
    print(maxShiftArrayValue(arr, cap, N))
     
    # This code is contributed by ipg2016107.


C#
// C# program for the above approach
using System;
class GFG {
 
    // Function to find the maximum element
    // after shifting operations in arr[]
    public static int maxShiftArrayValue(int[] arr,
                                         int[] cap, int N)
    {
 
        // Stores the sum of array element
        int sumVals = 0;
        for (int i = 0; i < N; i++) {
            sumVals += arr[i];
        }
 
        // Stores the maximum element in cap[]
        int maxCapacity = 0;
 
        // Iterate to find maximum element
        for (int i = 0; i < N; i++) {
            maxCapacity = Math.Max(cap[i], maxCapacity);
        }
 
        // Return the resultant maximum value
        return Math.Min(maxCapacity, sumVals);
    }
 
    // Driver Code
    public static void Main(string[] args)
    {
        int[] arr = { 2, 3 };
        int[] cap = { 5, 6 };
        int N = arr.Length;
 
        Console.WriteLine(maxShiftArrayValue(arr, cap, N));
    }
}
 
// This code is contributed by ukasp.


Javascript



输出:
5

时间复杂度: O(N)
辅助空间: O(N)