#2733
Neither Minimum nor Maximum
EasyArraySortingArraySorting
Approaches
Brute ForceOptimal
Complexity Comparison
| Brute Force | Optimal Solution★ | |
|---|---|---|
| Time | O(n²) | O(n) |
| Space | O(1) | O(1) |
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Intuition
Time O(n)Space O(1)
The optimal approach finds the minimum and maximum values in a single pass and then checks for a valid number in a second pass. This reduces the time complexity significantly.
⚙️
Algorithm
3 steps- 1Step 1: Initialize min and max values to the first element of the array.
- 2Step 2: Iterate through the array to find the actual minimum and maximum values.
- 3Step 3: Iterate through the array again to find and return any number that is neither the minimum nor the maximum.
solution.py13 lines
1# Full working Python code
2
3def neither_min_max(nums):
4 min_val = max_val = nums[0]
5 for num in nums:
6 if num < min_val:
7 min_val = num
8 if num > max_val:
9 max_val = num
10 for num in nums:
11 if num != min_val and num != max_val:
12 return num
13 return -1ℹ
Complexity note: The time complexity is O(n) because we only pass through the array a couple of times. The space complexity is O(1) as we only use a few variables.
- 1The problem requires distinguishing between minimum and maximum values.
- 2The array must have at least three distinct values to have a valid answer.
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