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YouTubeKTH Royal Institute of Technology
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Episode 4 🚀 | Kth Largest Element in an array | Using Min Heap | DSA |Interview #dsa #engineering
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Anjali Kumari on Instagram: "Kth largest element in an Array ??? You can’t image how repeatedly this question is being asked …. • Brute force approach Sort the entire array and directly pick the kth largest element. Easy to understand, but inefficient for large inputs. • Heap with all elements Insert all elements into a heap and remove the top element k times. Better than sorting in some cases, but still uses extra space. • Optimized heap of size k Maintain a heap of only k elements while traver
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Rakesh Kumar on Instagram: "🔢 Kth Smallest Element Explained (Heap Approach | DSA) Finding the kth smallest element doesn’t always require full sorting. Using a max heap of size k, we can solve this problem efficiently. 📌 Key idea: Maintain a max heap Keep only k smallest elements Heap top gives the kth smallest ⏱️ Time Complexity: O(n log k) 💾 Space Complexity: O(k) Save this reel for heap-based DSA revision 🚀 Follow @rakeshcodeburner for DSA explained in Hinglish. #DSA #Heap #KthSmallest #
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Leetcode 215, "Kth Largest Element in an Array"
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