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Back to Problems

683. K Empty Slots

Hard37.2% AcceptancePremium
ArrayBinary Indexed TreeSegment Tree
ProblemSolutionsVideosCompanies (2)Notes

Problem Statement

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Asked by:
N
Nvidia
G
Google

Solutions

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Video Solutions

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Top K Frequent Elements - Bucket Sort - Leetcode 347 - Python

NeetCode
13:13665,789 views

Asked By Companies

2 companies
N
Nvidia
G
Google

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Notes

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More similar problems

Related Topics

ArrayBinary Indexed TreeSegment TreeQueueSliding WindowHeap (Priority Queue)Ordered SetMonotonic Queue

Problem Stats

Acceptance Rate37.2%
DifficultyHard
Companies2

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Frequently Asked Questions

Is K Empty Slots asked in FAANG interviews?

Yes, K Empty Slots is considered a challenging problem and has appeared in technical interviews at large tech companies. It tests array manipulation, window techniques, and understanding of advanced data structures.

Why do we use a days array in K Empty Slots?

The days array maps each position to the exact day its flower blooms. This transformation makes it easier to compare bloom times across positions and apply window-based validation efficiently.

What is the optimal approach for K Empty Slots?

The optimal approach converts the bloom order into a days array and applies a sliding window technique. By checking whether flowers inside the window bloom later than the boundaries, we can efficiently find valid windows in O(n) time.

What data structure is best for solving K Empty Slots?

For the most efficient solution, a sliding window with a precomputed bloom-day array works best. However, ordered sets, segment trees, or binary indexed trees can also be used to track neighboring blooms dynamically.