#2149

Rearrange Array Elements by Sign

Medium
ArrayTwo PointersSimulationTwo PointersArray
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Approaches

Brute ForceOptimal
Complexity Comparison
Brute ForceOptimal Solution
Time
O(n²)
O(n)
Space
O(n)
O(n)
💡

Intuition

Time O(n)Space O(n)

The optimal approach uses two pointers to efficiently rearrange the elements in a single pass. This method is faster and uses less space than the brute-force approach.

⚙️

Algorithm

3 steps
  1. 1Step 1: Initialize two pointers, one for the positive integers and one for the negative integers.
  2. 2Step 2: Create an empty result array of the same length as nums.
  3. 3Step 3: Use a loop to fill the result array by alternating between the positive and negative integers, starting with the positive integer.
solution.py11 lines
1def rearrangeArray(nums):
2    result = [0] * len(nums)
3    pos_index, neg_index = 0, 1
4    for num in nums:
5        if num > 0:
6            result[pos_index] = num
7            pos_index += 2
8        else:
9            result[neg_index] = num
10            neg_index += 2
11    return result

Complexity note: The time complexity is O(n) because we traverse the array only once. The space complexity is O(n) due to the result array that we create to store the rearranged elements.

  • 1The array has an equal number of positive and negative integers, allowing for a straightforward alternating arrangement.
  • 2Maintaining the order of elements is crucial, which is why we separate them before merging.

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