给定一个大小为 n 的数组 arr[]具有正整数和负整数(不包括零)。任务是找到具有最大大小和最大和的交替符号的子序列,即,在每个相邻元素的子序列符号相反,例如,如果第一个元素为正,则第二个必须为负,然后是另一个正整数等等。
例子:
Input: arr[] = {2, 3, 7, -6, -4}
Output: 7 -4
Explanation:
Possible subsequences are [2, -6] [2, -4] [3, -6] [3, -4] [7, -6] [7, -4].
Out of these [7, -4] has the maximum sum.
Input: arr[] = {-4, 9, 4, 11, -5, -17, 9, -3, -5, 2}
Output: -4 11 -5 9 -3 2
方法:
解决上述问题的主要思想是从数组中由相同符号组成的段中找到最大元素,这意味着我们必须在连续正元素和连续负元素中选择最大元素。因为我们想要最大尺寸,所以我们只会从每个段中取一个元素,并且为了最大化总和,我们需要取每个段的最大元素。
下面是上述方法的实现:
CPP
// C++ implementation to find the
// subsequence with alternating sign
// having maximum size and maximum sum.
#include
using namespace std;
// Function to find the subsequence
// with alternating sign having
// maximum size and maximum sum.
void findSubsequence(int arr[], int n)
{
int sign[n] = { 0 };
// Find whether each element
// is positive or negative
for (int i = 0; i < n; i++) {
if (arr[i] > 0)
sign[i] = 1;
else
sign[i] = -1;
}
int k = 0;
int result[n] = { 0 };
// Find the required subsequence
for (int i = 0; i < n; i++) {
int cur = arr[i];
int j = i;
while (j < n && sign[i] == sign[j]) {
// Find the maximum element
// in the specified range
cur = max(cur, arr[j]);
++j;
}
result[k++] = cur;
i = j - 1;
}
// print the result
for (int i = 0; i < k; i++)
cout << result[i] << " ";
cout << "\n";
}
// Driver code
int main()
{
// array declaration
int arr[] = { -4, 9, 4, 11, -5, -17, 9, -3, -5, 2 };
// size of array
int n = sizeof(arr) / sizeof(arr[0]);
findSubsequence(arr, n);
return 0;
}
Java
// Java implementation to find the
// subsequence with alternating sign
// having maximum size and maximum sum.
class GFG{
// Function to find the subsequence
// with alternating sign having
// maximum size and maximum sum.
static void findSubsequence(int arr[], int n)
{
int sign[] = new int[n];
// Find whether each element
// is positive or negative
for (int i = 0; i < n; i++) {
if (arr[i] > 0)
sign[i] = 1;
else
sign[i] = -1;
}
int k = 0;
int result[] = new int[n];
// Find the required subsequence
for (int i = 0; i < n; i++) {
int cur = arr[i];
int j = i;
while (j < n && sign[i] == sign[j]) {
// Find the maximum element
// in the specified range
cur = Math.max(cur, arr[j]);
++j;
}
result[k++] = cur;
i = j - 1;
}
// print the result
for (int i = 0; i < k; i++)
System.out.print(result[i]+ " ");
System.out.print("\n");
}
// Driver code
public static void main(String[] args)
{
// array declaration
int arr[] = { -4, 9, 4, 11, -5, -17, 9, -3, -5, 2 };
// size of array
int n = arr.length;
findSubsequence(arr, n);
}
}
// This code is contributed by Princi Singh
Python3
# Python3 implementation to find the
# subsequence with alternating sign
# having maximum size and maximum sum.
# Function to find the subsequence
# with alternating sign having
# maximum size and maximum sum.
def findSubsequence(arr, n):
sign = [0]*n
# Find whether each element
# is positive or negative
for i in range(n):
if (arr[i] > 0):
sign[i] = 1
else:
sign[i] = -1
k = 0
result = [0]*n
# Find the required subsequence
i = 0
while i < n:
cur = arr[i]
j = i
while (j < n and sign[i] == sign[j]):
# Find the maximum element
# in the specified range
cur = max(cur, arr[j])
j += 1
result[k] = cur
k += 1
i = j - 1
i += 1
# print the result
for i in range(k):
print(result[i],end=" ")
# Driver code
if __name__ == '__main__':
# array declaration
arr=[-4, 9, 4, 11, -5, -17, 9, -3, -5, 2]
# size of array
n = len(arr)
findSubsequence(arr, n)
# This code is contributed by mohit kumar 29
C#
// C# implementation to find the
// subsequence with alternating sign
// having maximum size and maximum sum.
using System;
public class GFG{
// Function to find the subsequence
// with alternating sign having
// maximum size and maximum sum.
static void findSubsequence(int []arr, int n)
{
int []sign = new int[n];
// Find whether each element
// is positive or negative
for (int i = 0; i < n; i++) {
if (arr[i] > 0)
sign[i] = 1;
else
sign[i] = -1;
}
int k = 0;
int []result = new int[n];
// Find the required subsequence
for (int i = 0; i < n; i++) {
int cur = arr[i];
int j = i;
while (j < n && sign[i] == sign[j]) {
// Find the maximum element
// in the specified range
cur = Math.Max(cur, arr[j]);
++j;
}
result[k++] = cur;
i = j - 1;
}
// print the result
for (int i = 0; i < k; i++)
Console.Write(result[i]+ " ");
Console.Write("\n");
}
// Driver code
public static void Main(String[] args)
{
// array declaration
int []arr = { -4, 9, 4, 11, -5, -17, 9, -3, -5, 2 };
// size of array
int n = arr.Length;
findSubsequence(arr, n);
}
}
// This code contributed by Rajput-Ji
Javascript
输出:
-4 11 -5 9 -3 2
时间复杂度: O(N)
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