This is a premium problem. We're working on making it available for free soon.
Explore Free ProblemsSolutions for this premium problem will be available for free soon.
Browse Free ProblemsWatch expert explanations and walkthroughs
Practice problems asked by these companies to ace your technical interviews.
Explore More ProblemsJot down your thoughts, approach, and key learnings
Yes, this problem or similar scheduling problems appear in interviews at companies like Google, Amazon, and Meta. It tests understanding of heaps, greedy algorithms, and frequency-based string manipulation.
A priority queue (max heap) is the most effective data structure because it always selects the character with the highest remaining frequency. It is typically combined with a queue to manage the k-distance cooldown constraint.
The optimal approach uses a greedy strategy with a max heap and a cooldown queue. Characters with the highest frequency are placed first, while recently used characters wait for k positions before being reused. This ensures valid spacing while maximizing placement flexibility.
A greedy approach ensures that the most frequent characters are distributed early, reducing the risk of clustering them later. This strategy helps maintain the required distance constraint and improves the chances of constructing a valid string.