#3574

Hard

LeetCode Problem Workspace

Maximize Subarray GCD Score

Maximize Subarray GCD Score focuses on maximizing a subarray's score by using at most k doubling operations on an array of integers.

array math enumeration number theory

Problem Statement

You are given an array of positive integers nums and an integer k. You may perform at most k operations, where in each operation, you can choose one element in the array and double its value. Each element can be doubled at most once.

The score of a contiguous subarray is defined as the product of its length and the greatest common divisor (GCD) of all its elements. Your task is to maximize the GCD score of a subarray after performing at most k doubling operations.

Examples

Example 1

Input: nums = [2,4], k = 1

Output: 8

Example 2

Input: nums = [3,5,7], k = 2

Output: 14

Example 3

Input: nums = [5,5,5], k = 1

Output: 15

Constraints

1 <= n == nums.length <= 1500
1 <= nums[i] <= 109
1 <= k <= n

Solution Approach

Iterating Over Subarrays

Iterate over all possible contiguous subarrays of nums, considering the GCD and length of each subarray. For each subarray, calculate the score based on its GCD and length, and check the impact of doubling elements to maximize the score.

Doubling Strategy

To optimize the score, strategically select which elements to double. Focus on elements whose doubling results in the highest increase in GCD for the chosen subarray. This requires understanding the effect of doubling on GCD in relation to the subarray's structure.

Efficient Calculation of GCD

Utilize an efficient method to calculate the GCD of a subarray, especially when modifying elements through doubling. A sliding window approach or maintaining an updated GCD value can speed up the calculation.

Complexity Analysis

Metric	Value
Time	Depends on the final approach
Space	Depends on the final approach

The time and space complexity depend on the specific approach taken. A brute-force solution considering all subarrays would be O(n^2) in time, where n is the length of nums. Optimizing with GCD calculations and choosing which elements to double can reduce this complexity.

What Interviewers Usually Probe

Assess the candidate's understanding of GCD and how it affects the subarray score.
Look for the candidate's ability to apply an efficient strategy when deciding which elements to double.
Evaluate how well the candidate handles the constraints and optimizes the solution.

Common Pitfalls or Variants

Common pitfalls

Ignoring the effect of doubling on the GCD of subarrays, which can lead to suboptimal solutions.
Not considering edge cases, such as very small arrays or arrays with all equal elements.
Using a brute-force approach that doesn't scale well with larger input sizes, leading to time complexity issues.

Follow-up variants

Increasing the value of k or the array size to test the scalability of the solution.
Modifying the array to contain duplicate elements to see how it affects the GCD calculation and score.
Adjusting the allowed range of elements in nums to see if the solution can handle larger numbers.

FAQ

What is the main challenge in solving the Maximize Subarray GCD Score problem?

The main challenge is determining the best strategy for applying the k allowed doubling operations to maximize the GCD score of a subarray.

How does doubling an element affect the GCD score?

Doubling an element can increase the GCD of the subarray if the element shares common divisors with other elements in the subarray.

What is the optimal approach for iterating over subarrays in this problem?

An optimal approach is to use a sliding window or an incremental method to calculate the GCD of subarrays, ensuring efficient calculations for large arrays.

How do we handle cases with large values in nums?

For large values in nums, consider optimizing the GCD calculation and applying doubling to elements with high divisibility potential to maximize the score.

What is the significance of the pattern Array plus Math in this problem?

The Array plus Math pattern is crucial because it combines array manipulation with mathematical principles, particularly the GCD, to solve the problem efficiently.

terminal

Solution

Solution 1: Enumeration + Mathematics

We notice that the length of the array in this problem is $n \leq 1500$, so we can enumerate all subarrays. For each subarray, calculate its GCD score and find the maximum value as the answer.

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class Solution:
    def maxGCDScore(self, nums: List[int], k: int) -> int:
        n = len(nums)
        cnt = [0] * n
        for i, x in enumerate(nums):
            while x % 2 == 0:
                cnt[i] += 1
                x //= 2
        ans = 0
        for l in range(n):
            g = 0
            mi = inf
            t = 0
            for r in range(l, n):
                g = gcd(g, nums[r])
                if cnt[r] < mi:
                    mi = cnt[r]
                    t = 1
                elif cnt[r] == mi:
                    t += 1
                ans = max(ans, (g if t > k else g * 2) * (r - l + 1))
        return ans

Continue Practicing

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