通过一一减少元素来最大化Array的最小元素
给定一个包含N个整数的数组arr[] 。在每个操作中,从数组中选择一个最小整数,并在从剩余元素中减去它后从数组中删除。任务是在任意数量的此类操作之后找到数组的最小值的最大值。
例子:
Input: arr[] = {-1, -2, 4, 3, 5}
Output: 4
Explanation: Following are the operations performed in array
First operation: remove -2 and subtract it from remaining. Now array arr[] becomes {1, 6, 5, 7} minimum element =1, max minimum element = 1.
Operation 2: remove 1 and subtract it from remaining. Now array arr[] becomes {5, 4, 6} minimum element =4, max minimum element = 4.
Operation 3: remove 4 and subtract it from the remaining. Now arr[] becomes {1, 2} minimum element =1 max minimum element = 4 till now.
Operation 4: remove 1 and subtract it from remaining. Now arr[] becomes {1}. minimum element = 1, max minimum element = 4 till now
Therefore, Maximum minimum element is 4.
Input: arr[] = {-3, -1, -6, -7}
Output: 3
朴素方法:从数组中删除最小元素并从剩余元素中进行减法,并在每次操作中跟踪数组的最小值的最大值,而数组的大小不等于0 。
时间复杂度: O(N 2 )
辅助空间: O(1)
高效方法:上述方法可以通过使用贪心方法进行优化。这可以从数学上推导出来,因为每次都需要删除最小元素,因此它与数组中元素的顺序无关。所以需要对数组进行排序。请遵循以下观察:
Since the Minimum element needs to be removed in each operation.
Consider the array after sorting in increasing order is {a1, a2, a3, a4, a5, …}
- Initially a1 is the minimum after removing it the array is {a2-a1, a3-a1, a4-a1, a5-a1, ..}
- Now a2-a1 is the minimum after removing it the array is{a3-a1-(a2-a1), a4-a1-(a2-a1), ..} which is equal to {a3-a2, a4-a2, a5-a2, …}
- Now a3-a2 is the minimum and it continues so…
res = max(a1, ∑(i=0 to N-1) (ai+1 -ai))
从上述证明中可以看出,最终结果将是连续元素的差异。因为每个步骤中的最小值是相邻元素的差异。
请按照以下步骤解决问题:
- 将初始答案初始化为max_value ,其中0次操作为arr[0] 。
- 按升序对数组arr[]进行排序。
- 在[0, N-1]范围内迭代
- 在每次迭代中跟踪最小值的最大值(即差arr[i + 1] – arr[i]) 。
- 返回最大值。
下面是上述方法的实现:
C++
// C++ code for the above approach
#include
using namespace std;
// Function to find maximum of minimum value
// of the array in the array
// in each operation
int min_after_del(int arr[], int n)
{
// If no operations are done
int max_value = arr[0];
// Sort the array arr in ascending order
sort(arr, arr + n);
// Traverse the array to check
// the required condition
for (int i = 0; i < n - 1; i++) {
max_value = max(max_value,
arr[i + 1] - arr[i]);
}
return max_value;
}
// Driver code
int main()
{
// Initializing array of arr
int arr[] = { -1, -2, 4, 3, 5 };
int N = sizeof(arr) / sizeof(arr[0]);
// Call the function and
// print the answer
cout << (min_after_del(arr, N));
return 0;
}
Java
// Java code for the above approach
import java.util.*;
class GFG{
// Function to find maximum of minimum value
// of the array in the array
// in each operation
static int min_after_del(int arr[], int n)
{
// If no operations are done
int max_value = arr[0];
// Sort the array arr in ascending order
Arrays.sort(arr);
// Traverse the array to check
// the required condition
for (int i = 0; i < n - 1; i++) {
max_value = Math.max(max_value,
arr[i + 1] - arr[i]);
}
return max_value;
}
// Driver code
public static void main(String[] args)
{
// Initializing array of arr
int arr[] = { -1, -2, 4, 3, 5 };
int N = arr.length;
// Call the function and
// print the answer
System.out.print(min_after_del(arr, N));
}
}
// This code is contributed by 29AjayKumar
Python3
# Python code for the above approach
# Function to find maximum of minimum value
# of the array in the array
# in each operation
def min_after_del (arr, n):
# If no operations are done
max_value = arr[0];
# Sort the array arr in ascending order
arr.sort();
# Traverse the array to check
# the required condition
for i in range(n - 1):
max_value = max(max_value, arr[i + 1] - arr[i]);
return max_value;
# Driver code
# Initializing array of arr
arr = [-1, -2, 4, 3, 5];
N = len(arr)
# Call the function and
# print the answer
print(min_after_del(arr, N));
# This code is contributed by Saurabh Jaiswal
C#
using System;
public class GFG{
// Function to find maximum of minimum value
// of the array in the array
// in each operation
static int min_after_del(int[] arr, int n)
{
// If no operations are done
int max_value = arr[0];
// Sort the array arr in ascending order
Array.Sort(arr);
// Traverse the array to check
// the required condition
for (int i = 0; i < n - 1; i++) {
max_value = Math.Max(max_value,
arr[i + 1] - arr[i]);
}
return max_value;
}
// Driver code
static public void Main (){
int[] arr = { -1, -2, 4, 3, 5 };
int N = arr.Length;
// Call the function and
// print the answer
Console.Write(min_after_del(arr, N));
}
}
// This code is contributed by hrithikgarg03188.
Javascript
4
时间复杂度: O(N log(N))
空间复杂度: O(1)