Comparison between Heap and Tree in a Tabular form
Click it Max Heap A max heap is a complete binary tree in which every parent node is greater than or equal to its children. This property ensures that the largest element is always at the root of the heap. Max heaps are commonly used in algorithms that require quick access to the maximum element, such as the heapsort algorithm and priority queues. Properties of a Max Heap: Heap Property: For every node 𝑖 i, the value of 𝑖 i is greater than or equal to the values of its children. Shape Property: The tree is a complete binary tree, meaning all levels are fully filled except possibly the last level, which is filled from left to right. Operations: Insertion: O(log n) Deletion (of the root): O(log n) Find Maximum: O(1) Min Heap A min heap is a complete binary tree in which every parent node is less than or equal to its children. This property ensures that the smallest element is always at the root of the heap. Min heaps are useful in algorithms that require quick access to the