最大化 arr[j] – arr[i] + arr[l] – arr[k],使得 i < j < k < l。求 arr[j] – arr[i] + arr[l] – arr[k] 的最大值,使得 i < j < k < l
例子:
Let us say our array is {4, 8, 9, 2, 20}
Then the maximum such value is 23 (9 - 4 + 20 - 2)
蛮力法:
我们可以简单地找到具有给定约束的大小为 4 的所有组合。最大值将是所需的答案。这种方法非常低效。
高效方法(动态规划):
我们将使用动态规划来解决这个问题。为此,我们创建了四个一维 DP 表。
假设有四个 DP 表——table1[], table2[], table3[], table4[]
然后求arr[l] – arr[k] + arr[j] – arr[i]的最大值,使得i < j < k < l
table1[] 应该存储 arr[l] 的最大值
table2[] 应该存储 arr[l] – arr[k] 的最大值
table3[] 应该存储 arr[l] – arr[k] + arr[j] 的最大值
table4[] 应该存储 arr[l] – arr[k] + arr[j] – arr[i] 的最大值
然后最大值将出现在 table4 的索引 0 中,这将是我们需要的答案。
以下是上述想法的实现——
C++
/* A C++ Program to find maximum value of
arr[l] - arr[k] + arr[j] - arr[i] and i < j < k < l,
given that the array has atleast 4 elements */
#include
using namespace std;
// To represent minus infinite
#define MIN -100000000
// A Dynamic Programming based function to find maximum
// value of arr[l] - arr[k] + arr[j] - arr[i] is maximum
// and i < j < k < l
int findMaxValue(int arr[], int n)
{
// If the array has less than 4 elements
if (n < 4)
{
printf("The array should have atlest 4 elements\n");
return MIN;
}
// We create 4 DP tables
int table1[n + 1], table2[n], table3[n - 1], table4[n - 2];
// Initialize all the tables to MIN
for (int i=0; i<=n; i++)
table1[i] = table2[i] = table3[i] = table4[i] = MIN;
// table1[] stores the maximum value of arr[l]
for (int i = n - 1; i >= 0; i--)
table1[i] = max(table1[i + 1], arr[i]);
// table2[] stores the maximum value of arr[l] - arr[k]
for (int i = n - 2; i >= 0; i--)
table2[i] = max(table2[i + 1], table1[i + 1] - arr[i]);
// table3[] stores the maximum value of arr[l] - arr[k]
// + arr[j]
for (int i = n - 3; i >= 0; i--)
table3[i] = max(table3[i + 1], table2[i + 1] + arr[i]);
// table4[] stores the maximum value of arr[l] - arr[k]
// + arr[j] - arr[i]
for (int i = n - 4; i >= 0; i--)
table4[i] = max(table4[i + 1], table3[i + 1] - arr[i]);
/*for (int i = 0; i < n + 1; i++)
cout << table1[i] << " " ;
cout << endl;
for (int i = 0; i < n; i++)
cout << table2[i] << " " ;
cout << endl;
for (int i = 0; i < n - 1; i++)
cout << table3[i] << " " ;
cout << endl;
for (int i = 0; i < n - 2; i++)
cout << table4[i] << " " ;
cout << endl;
*/
// maximum value would be present in table4[0]
return table4[0];
}
// Driver Program to test above functions
int main()
{
int arr[] = { 4, 8, 9, 2, 20 };
int n = sizeof(arr) / sizeof(arr[0]);
printf("%d\n", findMaxValue(arr, n));
return 0;
}
Java
/* A Java Program to find maximum value of
arr[l] - arr[k] + arr[j] - arr[i] and i < j < k < l,
given that the array has atleast 4 elements */
import java.util.Arrays;
class GFG
{
// A Dynamic Programming based function
// to find maximum value of
// arr[l] - arr[k] + arr[j] - arr[i]
// is maximum and i < j < k < l
static int findMaxValue(int[] arr, int n)
{
// If the array has less than 4 elements
if (n < 4)
{
System.out.println("The array should have" +
" atleast 4 elements");
}
// We create 4 DP tables
int table1[] = new int[n + 1];
int table2[] = new int[n];
int table3[] = new int[n - 1];
int table4[] = new int[n - 2];
// Initialize all the tables to minus Infinity
Arrays.fill(table1, Integer.MIN_VALUE);
Arrays.fill(table2, Integer.MIN_VALUE);
Arrays.fill(table3, Integer.MIN_VALUE);
Arrays.fill(table4, Integer.MIN_VALUE);
// table1[] stores the maximum value of arr[l]
for (int i = n - 1; i >= 0; i--)
{
table1[i] = Math.max(table1[i + 1], arr[i]);
}
// table2[] stores the maximum value of
// arr[l] - arr[k]
for (int i = n - 2; i >= 0; i--)
{
table2[i] = Math.max(table2[i + 1],
table1[i + 1] - arr[i]);
}
// table3[] stores the maximum value of
// arr[l] - arr[k] + arr[j]
for (int i = n - 3; i >= 0; i--)
table3[i] = Math.max(table3[i + 1],
table2[i + 1] + arr[i]);
// table4[] stores the maximum value of
// arr[l] - arr[k] + arr[j] - arr[i]
for (int i = n - 4; i >= 0; i--)
table4[i] = Math.max(table4[i + 1],
table3[i + 1] - arr[i]);
return table4[0];
}
// Driver Code
public static void main(String[] args)
{
int arr[] = { 4, 8, 9, 2, 20 };
int n = arr.length;
System.out.println(findMaxValue(arr, n));
}
}
// This code is contributed by Vivekkumar Singh
Python3
# A Python3 Program to find maximum value of
# arr[l] - arr[k] + arr[j] - arr[i] and i < j < k < l,
# given that the array has atleast 4 elements
# A Dynamic Programming based function to find
# maximum value of arr[l] - arr[k] + arr[j] - arr[i]
# is maximum and i < j < k < l
def findMaxValue(arr, n):
# If the array has less than 4 elements
if n < 4:
print("The array should have atlest 4 elements")
return MIN
# We create 4 DP tables
table1, table2 = [MIN] * (n + 1), [MIN] * n
table3, table4 = [MIN] * (n - 1), [MIN] * (n - 2)
# table1[] stores the maximum value of arr[l]
for i in range(n - 1, -1, -1):
table1[i] = max(table1[i + 1], arr[i])
# table2[] stores the maximum
# value of arr[l] - arr[k]
for i in range(n - 2, -1, -1):
table2[i] = max(table2[i + 1],
table1[i + 1] - arr[i])
# table3[] stores the maximum value of
# arr[l] - arr[k] + arr[j]
for i in range(n - 3, -1, -1):
table3[i] = max(table3[i + 1],
table2[i + 1] + arr[i])
# table4[] stores the maximum value of
# arr[l] - arr[k] + arr[j] - arr[i]
for i in range(n - 4, -1, -1):
table4[i] = max(table4[i + 1],
table3[i + 1] - arr[i])
# maximum value would be present in table4[0]
return table4[0]
# Driver Code
if __name__ == "__main__":
arr = [4, 8, 9, 2, 20]
n = len(arr)
# To represent minus infinite
MIN = -100000000
print(findMaxValue(arr, n))
# This code is contributed by Rituraj Jain
C#
// C# Program to find maximum value of
// arr[l] - arr[k] + arr[j] - arr[i]
// and i < j < k < l, given that
// the array has atleast 4 elements
using System;
class GFG
{
// A Dynamic Programming based function
// to find maximum value of
// arr[l] - arr[k] + arr[j] - arr[i]
// is maximum and i < j < k < l
static int findMaxValue(int[] arr, int n)
{
// If the array has less than 4 elements
if (n < 4)
{
Console.WriteLine("The array should have" +
" atleast 4 elements");
}
// We create 4 DP tables
int []table1 = new int[n + 1];
int []table2 = new int[n];
int []table3 = new int[n - 1];
int []table4 = new int[n - 2];
// Initialize all the tables to minus Infinity
fill(table1, int.MinValue);
fill(table2, int.MinValue);
fill(table3, int.MinValue);
fill(table4, int.MinValue);
// table1[] stores the maximum value of arr[l]
for (int i = n - 1; i >= 0; i--)
{
table1[i] = Math.Max(table1[i + 1], arr[i]);
}
// table2[] stores the maximum value of
// arr[l] - arr[k]
for (int i = n - 2; i >= 0; i--)
{
table2[i] = Math.Max(table2[i + 1],
table1[i + 1] - arr[i]);
}
// table3[] stores the maximum value of
// arr[l] - arr[k] + arr[j]
for (int i = n - 3; i >= 0; i--)
table3[i] = Math.Max(table3[i + 1],
table2[i + 1] + arr[i]);
// table4[] stores the maximum value of
// arr[l] - arr[k] + arr[j] - arr[i]
for (int i = n - 4; i >= 0; i--)
table4[i] = Math.Max(table4[i + 1],
table3[i + 1] - arr[i]);
return table4[0];
}
static void fill(int [] arr, int val)
{
for(int i = 0; i < arr.Length; i++)
arr[i] = val;
}
// Driver Code
public static void Main(String[] args)
{
int []arr = { 4, 8, 9, 2, 20 };
int n = arr.Length;
Console.WriteLine(findMaxValue(arr, n));
}
}
// This code is contributed by Princi Singh
Javascript
输出:
23
时间复杂度: O(n),其中 n 是输入数组的大小
辅助空间:由于我们创建了四个表来存储我们的值,空间是 4*O(n) = O(4*n) = O(n)
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