# Maximize array sum after K negations | Set 2

Given an array of size n and a number k. We must modify array K number of times. Here modify array means in each operation we can replace any array element arr[i] by -arr[i]. We need to perform this operation in such a way that after K operations, sum of array must be maximum?

Examples:

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Input : arr[] = {-2, 0, 5, -1, 2} K = 4 Output: 10 // Replace (-2) by -(-2), array becomes {2, 0, 5, -1, 2} // Replace (-1) by -(-1), array becomes {2, 0, 5, 1, 2} // Replace (0) by -(0), array becomes {2, 0, 5, 1, 2} // Replace (0) by -(0), array becomes {2, 0, 5, 1, 2} Input : arr[] = {9, 8, 8, 5} K = 3 Output: 20

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We have discussed a O(nk) solution in below post.

Maximize array sum after K negations | Set 1

The idea used in above post is to replace the minimum element arr[i] in array by -arr[i] for current operation. In this way we can make sum of array maximum after K operations. Once interesting case is, once minimum element becomes 0, we don’t need to make any more changes.

The implementation used in above solution uses linear search to find minimum element. The time complexity of the above discussed solution is O(nk)

In this post an optimized solution is implemented that uses a priority queue (or binary heap) to find minimum element quickly.

Below is the implementation of the idea. It uses PriorityQueue class in Java.

## C++

`// A PriorityQueue based C++ program to` `// maximize array sum after k negations.` `#include <bits/stdc++.h>` `using` `namespace` `std;` `// Function to find Maximum sum` `// after K negations` `int` `MaxSum(` `int` `a[], ` `int` `n, ` `int` `k)` `{` ` ` `int` `sum = 0;` ` ` ` ` `// Create a min heap for priority queue` ` ` `priority_queue<` `int` `, vector<` `int` `>, greater<` `int` `>> pq;` ` ` `// Insert all elements in f array in priority_queue` ` ` `for` `(` `int` `i = 0; i < n; i++)` ` ` `{` ` ` `pq.push(a[i]);` ` ` `}` ` ` `while` `(k--)` ` ` `{` ` ` ` ` `// Retrieve and remove min element` ` ` `int` `temp = pq.top();` ` ` `pq.pop();` ` ` ` ` `// Modify the minimum element and` ` ` `// add back to priority queue` ` ` `temp = (temp) * -1;` ` ` `pq.push(temp);` ` ` `}` ` ` ` ` `// Calculate the sum` ` ` `while` `(!pq.empty())` ` ` `{` ` ` `sum = sum + pq.top();` ` ` `pq.pop();` ` ` `}` ` ` `return` `sum;` `}` `// Driver Code` `int` `main()` `{` ` ` `int` `a[] = { -2, 0, 5, -1, 2 };` ` ` `int` `n = ` `sizeof` `(a) / ` `sizeof` `(a[0]);` ` ` `int` `k = 4;` ` ` `cout << MaxSum(a, n, k);` ` ` `return` `0;` `}` `// This code is contributed by Harshit Srivastava` |

## Java

`// A PriorityQueue based Java program to maximize array` `// sum after k negations.` `import` `java.util.*;` `class` `maximizeSum` `{` ` ` `public` `static` `int` `maxSum(` `int` `[] a, ` `int` `k)` ` ` `{` ` ` `// Create a priority queue and insert all array elements` ` ` `// int` ` ` `PriorityQueue<Integer> pq = ` `new` `PriorityQueue<>();` ` ` `for` `(` `int` `x : a)` ` ` `pq.add(x);` ` ` `// Do k negations by removing a minimum element k times` ` ` `while` `(k-- > ` `0` `)` ` ` `{` ` ` `// Retrieve and remove min element` ` ` `int` `temp = pq.poll();` ` ` `// Modify the minimum element and add back` ` ` `// to priority queue` ` ` `temp *= -` `1` `;` ` ` `pq.add(temp);` ` ` `}` ` ` `// Compute sum of all elements in priority queue.` ` ` `int` `sum = ` `0` `;` ` ` `for` `(` `int` `x : pq)` ` ` `sum += x;` ` ` `return` `sum;` ` ` `}` ` ` `// Driver code` ` ` `public` `static` `void` `main (String[] args)` ` ` `{` ` ` `int` `[] arr = {-` `2` `, ` `0` `, ` `5` `, -` `1` `, ` `2` `};` ` ` `int` `k = ` `4` `;` ` ` `System.out.println(maxSum(arr, k));` ` ` `}` `}` |

**Output:**

10

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