04 - 15 Jan - Heap Sort

This document discusses heap sort and how to implement a min heap. It shows the steps of heap sort by organizing elements into a min heap where the first element is always the minimum. It explains that a min heap can support fast insertion and deletion of minimum elements in O(log n) time by maintaining the heap property that a node is larger than its children. The key aspects are using a complete binary tree structure represented in an array and algorithms for heapify, insert, and delete min that maintain the min heap ordering.