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Length of the longest subsequence with negative sum of all prefixes

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  • Difficulty Level : Hard
  • Last Updated : 29 Jun, 2021
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Given an array arr[] consisting of N integers, the task is to find the length of the longest subsequence such that the prefix sum at each index of the subsequence is negative.

Examples:

Input: arr[] = {-1, -3, 3, -5, 8, 2}
Output: 5
Explanation: Longest subsequence satisfying the condition is {-1, -3, 3, -5, 2}.

Input: arr[] = {2, -5, 2, -1, 5, 1, -9, 10}
Output: 6
Explanation: Longest subsequence satisfying the condition is {-1, -3, 3, -5, 2}.

Approach: The problem can be solved by using a Priority Queue. Follow the steps below to solve the problem:

  • Initialize a priority queue, say pq, and a variable, say S as 0, to store the elements of the subsequence formed from elements up to an index i and to store the sum of the elements in the priority queue.
  • Iterate over the range [0, N – 1] using the variable i and perform the following steps:
  • Finally, after completing the above steps, print pq.size() as the answer.

Below is the implementation of the above approach:

C++




// C++ program for the above approach
#include <bits/stdc++.h>
using namespace std;
 
// Function to find the maximum length
// of a subsequence such that prefix sum
// of any index is negative
int maxLengthSubsequence(int arr[], int N)
{
    // Max priority Queue
    priority_queue<int> pq;
 
    // Stores the temporary sum of a
    // prefix of selected subsequence
    int S = 0;
 
    // Traverse the array arr[]
    for (int i = 0; i < N; i++) {
        // Increment S by arr[i]
        S += arr[i];
 
        // Push arr[i] into pq
        pq.push(arr[i]);
 
        // Iterate until S
        // is greater than 0
        while (S > 0) {
 
            // Decrement S by pq.top()
            S -= pq.top();
 
            // Pop the top element
            pq.pop();
        }
    }
 
    // Return the maxLength
    return pq.size();
}
 
// Driver Code
int main()
{
    // Given Input
    int arr[6] = { -1, -3, 3, -5, 8, 2 };
    int N = sizeof(arr) / sizeof(arr[0]);
    // Function call
    cout << maxLengthSubsequence(arr, N);
 
    return 0;
}

Java




// Java program for the above approach
import java.util.Collections;
import java.util.PriorityQueue;
 
public class GFG
{
 
    // Function to find the maximum length
    // of a subsequence such that prefix sum
    // of any index is negative
    static int maxLengthSubsequence(int arr[], int N)
    {
       
        // Max priority Queue
        PriorityQueue<Integer> pq = new PriorityQueue<>(
            Collections.reverseOrder());
 
        // Stores the temporary sum of a
        // prefix of selected subsequence
        int S = 0;
 
        // Traverse the array arr[]
        for (int i = 0; i < N; i++)
        {
           
            // Increment S by arr[i]
            S += arr[i];
 
            // Add arr[i] into pq
            pq.add(arr[i]);
 
            // Iterate until S
            // is greater than 0
            while (S > 0)
            {
 
                // Decrement S by pq.peek()
                S -= pq.peek();
 
                // Remove the top element
                pq.remove();
            }
        }
 
        // Return the maxLength
        return pq.size();
    }
 
    // Driver code
    public static void main(String[] args)
    {
        int arr[] = { -1, -3, 3, -5, 8, 2 };
        int N = arr.length;
       
        // Function call
        System.out.println(maxLengthSubsequence(arr, N));
    }
}
 
// This code is contributed by abhinavjain194

Python3




# Python3 program for the above approach
 
# Function to find the maximum length
# of a subsequence such that prefix sum
# of any index is negative
def maxLengthSubsequence(arr, N):
     
    # Max priority Queue
    pq = []
 
    # Stores the temporary sum of a
    # prefix of selected subsequence
    S = 0
 
    # Traverse the array arr[]
    for i in range(N):
         
        # Increment S by arr[i]
        S += arr[i]
 
        # Push arr[i] into pq
        pq.append(arr[i])
 
        # Iterate until S
        # is greater than 0
        pq.sort(reverse = False)
         
        while (S > 0):
             
            # Decrement S by pq.top()
            # pq.sort(reverse=False)
            S = S - max(pq)
 
            # Pop the top element
            pq = pq[1:]
             
        # print(len(pq))
 
    # Return the maxLength
    return len(pq)
 
# Driver Code
if __name__ == '__main__':
     
    # Given Input
    arr = [ -1, -3, 3, -5, 8, 2 ]
    N = len(arr)
     
    # Function call
    print(maxLengthSubsequence(arr, N))
     
# This code is contributed by SURENDRA_GANGWAR

C#




// C# program for the above approach
using System;
using System.Collections.Generic;
 
class GFG{
  
// Function to find the maximum length
// of a subsequence such that prefix sum
// of any index is negative
static int maxLengthSubsequence(int []arr, int N)
{
    // Max priority Queue
    List<int> pq = new List<int>();
 
    // Stores the temporary sum of a
    // prefix of selected subsequence
    int S = 0;
 
    // Traverse the array arr[]
    for (int i = 0; i < N; i++)
    {
       
        // Increment S by arr[i]
        S += arr[i];
 
        // Push arr[i] into pq
        pq.Add(arr[i]);
         
        pq.Sort();
        // Iterate until S
        // is greater than 0
        while (S > 0) {
            pq.Sort();
            // Decrement S by pq.top()
            S -=  pq[pq.Count-1];
 
            // Pop the top element
            pq.RemoveAt(0);
        }
    }
 
    // Return the maxLength
    return pq.Count;
}
 
// Driver Code
public static void Main()
{
   
    // Given Input
    int []arr = { -1, -3, 3, -5, 8, 2 };
    int N = arr.Length;
   
    // Function call
    Console.Write(maxLengthSubsequence(arr, N));
     
}
}
 
// This code is contributed by ipg2016107.

Javascript




<script>
 
// JavaScript program for the above approach
 
// Function to find the maximum length
// of a subsequence such that prefix sum
// of any index is negative
function maxLengthSubsequence(arr, N) {
    // Max priority Queue
    let pq = new Array();
 
    // Stores the temporary sum of a
    // prefix of selected subsequence
    let S = 0;
 
    // Traverse the array arr[]
    for (let i = 0; i < N; i++) {
 
        // Increment S by arr[i]
        S += arr[i];
 
        // Push arr[i] into pq
        pq.push(arr[i]);
 
        pq.sort((a, b) => a - b);
        // Iterate until S
        // is greater than 0
        while (S > 0) {
            pq.sort((a, b) => a - b);
            // Decrement S by pq.top()
            S -= pq[pq.length - 1];
 
            // Pop the top element
            pq.shift();
        }
    }
 
    // Return the maxLength
    return pq.length;
}
 
// Driver Code
 
// Given Input
let arr = [-1, -3, 3, -5, 8, 2];
let N = arr.length;
 
// Function call
document.write(maxLengthSubsequence(arr, N));
 
// This code is contributed by gfgking
 
</script>

Output: 

5

 

Time Complexity: O(N*log(N))
Auxiliary Space: O(N)

 


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