Merge K Sorted Lists Using Min Heap
📖 Scenario: You are working on a system that merges multiple sorted data streams into one sorted stream efficiently. This is common in search engines, data processing, and real-time analytics.
🎯 Goal: Build a program that merges k sorted linked lists into one sorted linked list using a min heap (priority queue) for efficient merging.
📋 What You'll Learn
Create
k sorted linked lists with given valuesUse a min heap (priority queue) to merge these lists efficiently
Output the merged sorted linked list
💡 Why This Matters
🌍 Real World
Merging multiple sorted data streams is common in search engines, log processing, and real-time data analytics where data arrives in sorted chunks.
💼 Career
Understanding how to merge sorted lists efficiently using heaps is important for software engineers working on databases, big data, and systems programming.
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