heapify time complexity

Heapify time complexity refers to the computational efficiency of the heapify operation in a data structure called a heap. Heapify is the process of converting an unordered array into a valid heap, which is a complete binary tree with a specific ordering property. The time complexity of heapify is generally O(log n), where n is the number of elements in the heap. In simpler terms, it means that the time required to heapify an array grows logarithmically with the number of elements. This efficient time complexity is crucial for maintaining the performance of heaps, as it ensures that insertions, deletions, and extractions of elements from the heap can be done efficiently. It allows heaps to be used in various algorithms, such as priority queues and sorting algorithms like heap sort.

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