LeetCode 2366. Minimum Replacements to Sort the Array Solution in Java, C++, Python & More | Explanation + Code

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2366. Minimum Replacements to Sort the Array

Description

You are given a 0-indexed integer array nums. In one operation you can replace any element of the array with any two elements that sum to it.

  • For example, consider nums = [5,6,7]. In one operation, we can replace nums[1] with 2 and 4 and convert nums to [5,2,4,7].

Return the minimum number of operations to make an array that is sorted in non-decreasing order.

 

Example 1:

Input: nums = [3,9,3]
Output: 2
Explanation: Here are the steps to sort the array in non-decreasing order:
- From [3,9,3], replace the 9 with 3 and 6 so the array becomes [3,3,6,3]
- From [3,3,6,3], replace the 6 with 3 and 3 so the array becomes [3,3,3,3,3]
There are 2 steps to sort the array in non-decreasing order. Therefore, we return 2.

Example 2:

Input: nums = [1,2,3,4,5]
Output: 0
Explanation: The array is already in non-decreasing order. Therefore, we return 0. 

 

Constraints:

  • 1 <= nums.length <= 105
  • 1 <= nums[i] <= 109

Solutions

Solution 1: Greedy Approach

We observe that to make the array nums non-decreasing or monotonically increasing, the elements towards the end of the array should be as large as possible. Therefore, it is unnecessary to replace the last element nums[n-1] of the array nums with multiple smaller numbers.

In other words, we can traverse the array nums from the end to the beginning, maintaining the current maximum value mx, initially mx = nums[n-1].

  • If the current element nums[i] ≤ mx, there is no need to replace nums[i]. We simply update mx = nums[i].
  • Otherwise, we need to replace nums[i] with multiple numbers that sum to nums[i]. The maximum of these numbers is mx, and the total number of replacements is k=\left \lceil nums[i]mx \right \rceil. Therefore, we need to perform k-1 operations, which are added to the answer. Among these k numbers, the smallest number is \left \lfloor nums[i]k \right \rfloor. Therefore, we update mx = \left \lfloor nums[i]k \right \rfloor.

After the traversal, we return the total number of operations.

The time complexity is O(n), where n is the length of the array nums. The space complexity is O(1).

PythonJavaC++GoTypeScriptRust
class Solution: def minimumReplacement(self, nums: List[int]) -> int: ans = 0 n = len(nums) mx = nums[-1] for i in range(n - 2, -1, -1): if nums[i] <= mx: mx = nums[i] continue k = (nums[i] + mx - 1) // mx ans += k - 1 mx = nums[i] // k return ans(code-box)

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