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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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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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