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2099. Find Subsequence of Length K With the Largest Sum | leetcode - 2099 | Java Solution
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🎬 LeetCode 2099 – Find Subsequence of Length K With the Largest Sum
🧠 Approach: 2 PriorityQueues | Time: O(n log k)
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🗣️ Narration Script:
"In this video, let’s solve LeetCode 2099 using a clean and efficient heap-based approach in O(n log k) time.
We need to find a subsequence of length k that has the largest sum, but also keeps the original order of elements from the array.
To do this, I’m using two priority queues:
🔹 First, we maintain a min-heap of size k.
This helps us efficiently track the top k largest elements. Each element is stored along with its original index.
🔹 Once we have these k elements, we sort them by their original indices.
This ensures the final subsequence maintains the order from the original array.
This two-step approach guarantees both:
the largest possible sum, and
the correct sequence.
This pattern is very common in problems involving top-k elements with order constraints.
Let me know in the comments if you’ve seen similar patterns elsewhere, and don’t forget to like and subscribe for more Java-based LeetCode videos."
#LeetCode #JavaCoding #PriorityQueue #TechInterviewPrep #CodingInterview #TopKElements #LeetCodeSolutions #HeapProblems
🧠 Approach: 2 PriorityQueues | Time: O(n log k)
---
🗣️ Narration Script:
"In this video, let’s solve LeetCode 2099 using a clean and efficient heap-based approach in O(n log k) time.
We need to find a subsequence of length k that has the largest sum, but also keeps the original order of elements from the array.
To do this, I’m using two priority queues:
🔹 First, we maintain a min-heap of size k.
This helps us efficiently track the top k largest elements. Each element is stored along with its original index.
🔹 Once we have these k elements, we sort them by their original indices.
This ensures the final subsequence maintains the order from the original array.
This two-step approach guarantees both:
the largest possible sum, and
the correct sequence.
This pattern is very common in problems involving top-k elements with order constraints.
Let me know in the comments if you’ve seen similar patterns elsewhere, and don’t forget to like and subscribe for more Java-based LeetCode videos."
#LeetCode #JavaCoding #PriorityQueue #TechInterviewPrep #CodingInterview #TopKElements #LeetCodeSolutions #HeapProblems
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