1589. Maximum Sum Obtained of Any Permutation LeetCode Solution
In this guide, you will get 1589. Maximum Sum Obtained of Any Permutation LeetCode Solution with the best time and space complexity. The solution to Maximum Sum Obtained of Any Permutation problem is provided in various programming languages like C++, Java, and Python. This will be helpful for you if you are preparing for placements, hackathons, interviews, or practice purposes. The solutions provided here are very easy to follow and include detailed explanations.
Table of Contents
- Problem Statement
- Complexity Analysis
- Maximum Sum Obtained of Any Permutation solution in C++
- Maximum Sum Obtained of Any Permutation solution in Java
- Maximum Sum Obtained of Any Permutation solution in Python
- Additional Resources

Problem Statement of Maximum Sum Obtained of Any Permutation
We have an array of integers, nums, and an array of requests where requests[i] = [starti, endi]. The ith request asks for the sum of nums[starti] + nums[starti + 1] + … + nums[endi – 1] + nums[endi]. Both starti and endi are 0-indexed.
Return the maximum total sum of all requests among all permutations of nums.
Since the answer may be too large, return it modulo 109 + 7.
Example 1:
Input: nums = [1,2,3,4,5], requests = [[1,3],[0,1]]
Output: 19
Explanation: One permutation of nums is [2,1,3,4,5] with the following result:
requests[0] -> nums[1] + nums[2] + nums[3] = 1 + 3 + 4 = 8
requests[1] -> nums[0] + nums[1] = 2 + 1 = 3
Total sum: 8 + 3 = 11.
A permutation with a higher total sum is [3,5,4,2,1] with the following result:
requests[0] -> nums[1] + nums[2] + nums[3] = 5 + 4 + 2 = 11
requests[1] -> nums[0] + nums[1] = 3 + 5 = 8
Total sum: 11 + 8 = 19, which is the best that you can do.
Example 2:
Input: nums = [1,2,3,4,5,6], requests = [[0,1]]
Output: 11
Explanation: A permutation with the max total sum is [6,5,4,3,2,1] with request sums [11].
Example 3:
Input: nums = [1,2,3,4,5,10], requests = [[0,2],[1,3],[1,1]]
Output: 47
Explanation: A permutation with the max total sum is [4,10,5,3,2,1] with request sums [19,18,10].
Constraints:
n == nums.length
1 <= n <= 105
0 <= nums[i] <= 105
1 <= requests.length <= 105
requests[i].length == 2
0 <= starti <= endi < n
Complexity Analysis
- Time Complexity: O(n + |\texttt{requests}|)
- Space Complexity: O(n)
1589. Maximum Sum Obtained of Any Permutation LeetCode Solution in C++
class Solution {
public:
int maxSumRangeQuery(vector<int>& nums, vector<vector<int>>& requests) {
constexpr int kMod = 1'000'000'007;
long ans = 0;
// count[i] := the number of times nums[i] has been requested
vector<int> count(nums.size());
for (const vector<int>& request : requests) {
const int start = request[0];
const int end = request[1];
++count[start];
if (end + 1 < nums.size())
--count[end + 1];
}
for (int i = 1; i < nums.size(); ++i)
count[i] += count[i - 1];
ranges::sort(count);
ranges::sort(nums);
for (int i = 0; i < nums.size(); ++i) {
ans += static_cast<long>(nums[i]) * count[i];
ans %= kMod;
}
return ans;
}
};
/* code provided by PROGIEZ */
1589. Maximum Sum Obtained of Any Permutation LeetCode Solution in Java
class Solution {
public int maxSumRangeQuery(int[] nums, int[][] requests) {
final int kMod = 1_000_000_007;
long ans = 0;
// count[i] := the number of times nums[i] has been requested
int[] count = new int[nums.length];
for (int[] request : requests) {
final int start = request[0];
final int end = request[1];
++count[start];
if (end + 1 < nums.length)
--count[end + 1];
}
for (int i = 1; i < nums.length; ++i)
count[i] += count[i - 1];
Arrays.sort(count);
Arrays.sort(nums);
for (int i = 0; i < nums.length; ++i) {
ans += (long) nums[i] * count[i];
ans %= kMod;
}
return (int) ans;
}
}
// code provided by PROGIEZ
1589. Maximum Sum Obtained of Any Permutation LeetCode Solution in Python
class Solution:
def maxSumRangeQuery(self, nums: list[int], requests: list[list[int]]) -> int:
kMod = 1_000_000_007
ans = 0
# count[i] := the number of times nums[i] has been requested
count = [0] * len(nums)
for start, end in requests:
count[start] += 1
if end + 1 < len(nums):
count[end + 1] -= 1
for i in range(1, len(nums)):
count[i] += count[i - 1]
for num, c in zip(sorted(nums), sorted(count)):
ans += num * c
ans %= kMod
return ans
# code by PROGIEZ
Additional Resources
- Explore all LeetCode problem solutions at Progiez here
- Explore all problems on LeetCode website here
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