How hard is LeetCode 2233. Maximum Product After K Increments?

LeetCode 2233. Maximum Product After K Increments is rated Medium on LeetCode.

What is the time complexity of LeetCode 2233. Maximum Product After K Increments?

The Python solution on this page runs in O(k \times \log n).

What is the space complexity of LeetCode 2233. Maximum Product After K Increments?

The Python solution on this page uses O(n) auxiliary space.

What topics does LeetCode 2233. Maximum Product After K Increments cover?

LeetCode 2233. Maximum Product After K Increments is tagged Greedy, Array and Heap (Priority Queue) on LeetCode.

Maximum Product After K Increments — LeetCode 2233 Python Solution

MediumGreedyArrayHeap (Priority Queue)

Problem: #2233
Pattern: Heap / Priority Queue
Reading time: 2 min
Source: leetcode.com

The problem

You are given an array of non-negative integers nums and an integer k. In one operation, you may choose any element from nums and increment it by 1.

Example

Input: nums = [0,4], k = 5
Output: 20
Explanation: Increment the first number 5 times.

Python solution

Python

class Solution:
    def maximumProduct(self, nums: List[int], k: int) -> int:
        heapify(nums)
        for _ in range(k):
            heapreplace(nums, nums[0] + 1)
        mod = 10**9 + 7
        return reduce(lambda x, y: x * y % mod, nums)

Complexity

Measure	Complexity
Time	O(k \times \log n)
Space	O(n) auxiliary

Pattern: Heap / Priority Queue

Keep only the best k elements, or always pull the smallest, in log time. LeetCode 2233. Maximum Product After K Increments is filed here because LeetCode tags it Heap (Priority Queue), which is the vocabulary this hub collects.

The heap / priority queue guide has the Python template for the pattern and the 163 LeetCode problems that use it.

Frequently asked questions

How hard is LeetCode 2233. Maximum Product After K Increments?: LeetCode 2233. Maximum Product After K Increments is rated Medium on LeetCode.
What is the time complexity of LeetCode 2233. Maximum Product After K Increments?: The Python solution on this page runs in O(k \times \log n).
What is the space complexity of LeetCode 2233. Maximum Product After K Increments?: The Python solution on this page uses O(n) auxiliary space.
What topics does LeetCode 2233. Maximum Product After K Increments cover?: LeetCode 2233. Maximum Product After K Increments is tagged Greedy, Array and Heap (Priority Queue) on LeetCode.