Problem Description
You are given an integer array nums
, an integer k
, and an integer multiplier
.
You need to perform k
operations on nums
. In each operation:
- Find the minimum value
x
innums
. If there are multiple occurrences of the minimum value, select the one that appears first. - Replace the selected minimum value
x
withx * multiplier
.
Return an integer array denoting the final state of nums
after performing all k
operations.
Example 1:
Input: nums = [2,1,3,5,6], k = 5, multiplier = 2
Output: [8,4,6,5,6]
Explanation:
Operation | Result |
---|---|
After operation 1 | [2, 2, 3, 5, 6] |
After operation 2 | [4, 2, 3, 5, 6] |
After operation 3 | [4, 4, 3, 5, 6] |
After operation 4 | [4, 4, 6, 5, 6] |
After operation 5 | [8, 4, 6, 5, 6] |
Example 2:
Input: nums = [1,2], k = 3, multiplier = 4
Output: [16,8]
Explanation:
Operation | Result |
---|---|
After operation 1 | [4, 2] |
After operation 2 | [4, 8] |
After operation 3 | [16, 8] |
Constraints:
1 <= nums.length <= 100
1 <= nums[i] <= 100
1 <= k <= 10
1 <= multiplier <= 5
Difficulty: Easy
Tags: array, math, heap (priority queue), simulation
Rating: 97.31%
Solution
Here’s my Python solution to this problem:
class Solution:
def getFinalState(self, nums: List[int], k: int, multiplier: int) -> List[int]:
result = nums.copy()
for _ in range(k):
min_val = min(result)
min_index = result.index(min_val)
result[min_index] = min_val * multiplier
return result
Complexity Analysis
The solution has the following complexity characteristics:
- Time Complexity:
- Space Complexity:
Note: This is an automated analysis and may not capture all edge cases or specific algorithmic optimizations.