给定一个由N 个整数组成的排序数组arr[]和一个整数K ,任务是将数组拆分为K个子数组,使得每个子数组的最大和最小元素的差之和最小。
例子:
Input: arr[] = {1, 3, 3, 7}, K = 4
Output: 0
Explanation:
The given array can be split into 4 subarrays as {1}, {3}, {3}, and {7}.
The difference between minimum and maximum of each subarray is:
1. {1}, difference = 1 – 1 = 0
2. {3}, difference = 3 – 3 = 0
3. {3}, difference = 3 – 3 = 0
4. {7}, difference = 7 – 7 = 0
Therefore, the sum all the difference is 0 which is minimized.
Input: arr[] = {4, 8, 15, 16, 23, 42}, K = 3
Output: 12
Explanation:
The given array can be split into 3 subarrays as {4, 8, 15, 16}, {23}, and {42}.
The difference between minimum and maximum of each subarray is:
1. {4, 8, 15, 16}, difference = 16 – 12 = 0
2. {23}, difference = 23 – 23 = 0
3. {42}, difference = 42 – 42 = 0
Therefore, the sum all the difference is 12 which is minimized.
方法:要将给定的数组拆分为具有给定条件的K个子数组,其想法是在元素arr[i+1]和arr[i]之间差异最大的索引(比如i )处进行拆分。以下是实现此方法的步骤:
- 将给定数组arr[] 中连续元素对之间的差异存储到另一个数组中(比如temp[] )。
- 按升序对数组temp[]进行排序。
- 将总差值(比如diff )初始化为给定数组arr[]的第一个和最后一个元素的差值。
- 将数组temp[] 中的前K – 1 个值与上述差值相加。
- diff 中存储的值是K子数组的最大和最小元素之差的最小和。
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 subarray
int find(int a[], int n, int k)
{
vector v;
// Add the difference to vectors
for (int i = 1; i < n; ++i) {
v.push_back(a[i - 1] - a[i]);
}
// Sort vector to find minimum k
sort(v.begin(), v.end());
// Initialize result
int res = a[n - 1] - a[0];
// Adding first k-1 values
for (int i = 0; i < k - 1; ++i) {
res += v[i];
}
// Return the minimized sum
return res;
}
// Driver Code
int main()
{
// Given array arr[]
int arr[] = { 4, 8, 15, 16, 23, 42 };
int N = sizeof(arr) / sizeof(int);
// Given K
int K = 3;
// Function Call
cout << find(arr, N, K) << endl;
return 0;
}
Java
// Java program for the above approach
import java.util.*;
class GFG{
// Function to find the subarray
static int find(int a[], int n, int k)
{
Vector v = new Vector();
// Add the difference to vectors
for(int i = 1; i < n; ++i)
{
v.add(a[i - 1] - a[i]);
}
// Sort vector to find minimum k
Collections.sort(v);
// Initialize result
int res = a[n - 1] - a[0];
// Adding first k-1 values
for(int i = 0; i < k - 1; ++i)
{
res += v.get(i);
}
// Return the minimized sum
return res;
}
// Driver Code
public static void main(String[] args)
{
// Given array arr[]
int arr[] = { 4, 8, 15, 16, 23, 42 };
int N = arr.length;
// Given K
int K = 3;
// Function Call
System.out.print(find(arr, N, K) + "\n");
}
}
// This code is contributed by Amit Katiyar
Python3
# Python3 program for the above approach
# Function to find the subarray
def find(a, n, k):
v = []
# Add the difference to vectors
for i in range(1, n):
v.append(a[i - 1] - a[i])
# Sort vector to find minimum k
v.sort()
# Initialize result
res = a[n - 1] - a[0]
# Adding first k-1 values
for i in range(k - 1):
res += v[i]
# Return the minimized sum
return res
# Driver code
arr = [ 4, 8, 15, 16, 23, 42 ]
# Length of array
N = len(arr)
K = 3
# Function Call
print(find(arr, N, K))
# This code is contributed by sanjoy_62
C#
// C# program for the above approach
using System;
using System.Collections.Generic;
class GFG{
// Function to find the subarray
static int find(int []a, int n, int k)
{
List v = new List();
// Add the difference to vectors
for(int i = 1; i < n; ++i)
{
v.Add(a[i - 1] - a[i]);
}
// Sort vector to find minimum k
v.Sort();
// Initialize result
int res = a[n - 1] - a[0];
// Adding first k-1 values
for(int i = 0; i < k - 1; ++i)
{
res += v[i];
}
// Return the minimized sum
return res;
}
// Driver Code
public static void Main(String[] args)
{
// Given array []arr
int []arr = { 4, 8, 15, 16, 23, 42 };
int N = arr.Length;
// Given K
int K = 3;
// Function Call
Console.Write(find(arr, N, K) + "\n");
}
}
// This code is contributed by Amit Katiyar
Javascript
12
时间复杂度: O(N) ,其中 N 是数组中的元素数。
辅助空间: O(N) ,其中 N 是数组中元素的数量。
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