To solve this problem, iterate over subarrays and apply doubling operations on selected elements to maximize the GCD score. The challenge lies in strategically selecting which elements to double to get the highest possible score. This problem combines array manipulation with number theory, specifically focusing on the greatest common divisor (GCD).
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.
How GhostInterview Helps
- GhostInterview provides step-by-step guidance in solving problems like maximizing subarray GCD score, especially focusing on optimizing the solution using GCD properties.
- The tool helps you identify common pitfalls and avoid inefficient brute-force solutions that fail with larger inputs.
- By providing hints and showing optimal patterns, GhostInterview accelerates the learning of tricky problems like this one, enabling more efficient problem-solving techniques.
Topic Pages
Related GhostInterview Pages
- LeetCode Interview Copilot - Use GhostInterview as a live solver when you want direct help with LeetCode-style coding questions.
- Coding Interview Assistant - See how GhostInterview supports array, string, linked list, graph, and tree interview workflows.
- How GhostInterview Works - Review the screenshot, reasoning, and answer flow before using the solver in a live interview.
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.
Need direct help with Maximize Subarray GCD Score instead of spending more time grinding it?
Download GhostInterview when you want a LeetCode solver, not another long practice loop. Capture Maximize Subarray GCD Score from a screenshot, get the answer path and complexity, and use supported stealth workflows that stay outside captured layers.
Capture the prompt fast instead of rewriting the problem by hand.
Get the solution path, trade-offs, and complexity summary in one pass.
Stay outside captured layers on supported screen-share workflows.
Stay in the same pattern family
This problem involves finding the longest subarray where the product equals the LCM multiplied by the GCD, leveraging a sliding window approach.
Open problem page#3044 Most Frequent PrimeFind the most frequent prime over 10 from numbers generated by scanning a 2D matrix in all straight directions efficiently.
Open problem page#2761 Prime Pairs With Target SumFind all prime number pairs that sum up to a given integer n using an efficient sieve-based array approach.
Open problem page