2265. Partition Array According To Given Pivot¶
Difficulty: Medium
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2265. Partition Array According to Given Pivot
Medium
You are given a 0-indexed integer array nums and an integer pivot. Rearrange nums such that the following conditions are satisfied:
- Every element less than
pivotappears before every element greater thanpivot. - Every element equal to
pivotappears in between the elements less than and greater thanpivot. - The relative order of the elements less than
pivotand the elements greater thanpivotis maintained.- More formally, consider every
pi,pjwherepiis the new position of theithelement andpjis the new position of thejthelement. Ifi < jand both elements are smaller (or larger) thanpivot, thenpi < pj.
- More formally, consider every
Return nums after the rearrangement.
Example 1:
Input: nums = [9,12,5,10,14,3,10], pivot = 10 Output: [9,5,3,10,10,12,14] Explanation: The elements 9, 5, and 3 are less than the pivot so they are on the left side of the array. The elements 12 and 14 are greater than the pivot so they are on the right side of the array. The relative ordering of the elements less than and greater than pivot is also maintained. [9, 5, 3] and [12, 14] are the respective orderings.
Example 2:
Input: nums = [-3,4,3,2], pivot = 2 Output: [-3,2,4,3] Explanation: The element -3 is less than the pivot so it is on the left side of the array. The elements 4 and 3 are greater than the pivot so they are on the right side of the array. The relative ordering of the elements less than and greater than pivot is also maintained. [-3] and [4, 3] are the respective orderings.
Constraints:
1 <= nums.length <= 105-106 <= nums[i] <= 106pivotequals to an element ofnums.
Solution¶
class Solution {
public int[] pivotArray(int[] nums, int pivot) {
int n = nums.length;
ArrayList<Integer> res = new ArrayList<>();
for(int i = 0; i < n; i++) if(nums[i] < pivot) res.add(nums[i]);
for(int i = 0; i < n; i++) if(nums[i] == pivot) res.add(pivot);
for(int i = 0; i < n; i++) if(nums[i] > pivot) res.add(nums[i]);
int ans[] = new int[n];
for(int i = 0; i < n; i++) ans[i] = res.get(i);
return ans;
}
}
Complexity Analysis¶
- Time Complexity:
O(?) - Space Complexity:
O(?)
Approach¶
Detailed explanation of the approach will be added here