Find Median from Data Stream
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What is Find Median from Data Stream?
Design a data structure that supports adding numbers one by one and returning the median at any point. You maintain two heaps: a max-heap for the lower half and a min-heap for the upper half, keeping them balanced so the median is always accessible at the top. This is the defining two-heap problem and teaches you how splitting a dataset into two heaps gives O(log n) insertion and O(1) median retrieval.
Free resources to learn Find Median from Data Stream
More in stage 11: Heap / Priority Queue
Find Median from Data Stream: common questions
Can I learn Find Median from Data Stream in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Find Median from Data Stream in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Find Median from Data Stream tutorial for beginners?
It is lesson 65 of 137 in the free LeetCode roadmap, in stage 11, Heap / Priority Queue. If you are new to LeetCode, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.