LeetCode 1508. Range Sum of Sorted Subarray Sums Solution in Java, C++, Python & More | Explanation + Code

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1508. Range Sum of Sorted Subarray Sums

Description

You are given the array nums consisting of n positive integers. You computed the sum of all non-empty continuous subarrays from the array and then sorted them in non-decreasing order, creating a new array of n * (n + 1) / 2 numbers.

Return the sum of the numbers from index left to index right (indexed from 1), inclusive, in the new array. Since the answer can be a huge number return it modulo 109 + 7.

 

Example 1:

Input: nums = [1,2,3,4], n = 4, left = 1, right = 5
Output: 13 
Explanation: All subarray sums are 1, 3, 6, 10, 2, 5, 9, 3, 7, 4. After sorting them in non-decreasing order we have the new array [1, 2, 3, 3, 4, 5, 6, 7, 9, 10]. The sum of the numbers from index le = 1 to ri = 5 is 1 + 2 + 3 + 3 + 4 = 13. 

Example 2:

Input: nums = [1,2,3,4], n = 4, left = 3, right = 4
Output: 6
Explanation: The given array is the same as example 1. We have the new array [1, 2, 3, 3, 4, 5, 6, 7, 9, 10]. The sum of the numbers from index le = 3 to ri = 4 is 3 + 3 = 6.

Example 3:

Input: nums = [1,2,3,4], n = 4, left = 1, right = 10
Output: 50

 

Constraints:

  • n == nums.length
  • 1 <= nums.length <= 1000
  • 1 <= nums[i] <= 100
  • 1 <= left <= right <= n * (n + 1) / 2

Solutions

Solution 1: Simulation

We can generate the array arr according to the problem's requirements, then sort the array, and finally calculate the sum of all elements in the range [left-1, right-1] to get the result.

The time complexity is O(n2 × log n), and the space complexity is O(n2). Here, n is the length of the array given in the problem.

PythonJavaC++GoTypeScriptJavaScript
class Solution: def rangeSum(self, nums: List[int], n: int, left: int, right: int) -> int: arr = [] for i in range(n): s = 0 for j in range(i, n): s += nums[j] arr.append(s) arr.sort() mod = 10**9 + 7 return sum(arr[left - 1 : right]) % mod(code-box)

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