Test your expertise on data structures focusing on heaps and priority queues, including their algorithms and advanced operations. Deepen your understanding of heap-related algorithms through complex, scenario-based questions.
In an array-based binary min heap represented as [2, 4, 8, 10, 7, 9, 12, 15], which parent-child relationship explicitly violates the min heap property if the array corresponds to a complete binary tree starting from index 0?
During bottom-up heap construction (heapify) of the array [7, 3, 5, 1, 9, 8, 4], which root index is processed first to maintain efficient build time in a binary max heap?
When implementing heap sort in-place on an integer array, what is the worst-case additional space complexity, excluding input storage?
If you need to continuously find the kth largest element from a stream of unsorted integers of unknown length, which data structure provides the most optimal time complexity per insertion for this task?
What is the maximum number of swaps that may occur when inserting a new element into a binary heap of height h?
In a d-ary heap stored as an array with zero-based indexing, what is the formula to determine the index of the jth child of node at index i (where 1 ≤ j ≤ d)?
Given an almost-sorted array in which only k elements are misplaced, which sorting algorithm would likely outperform heap sort in average case when k is much less than n?
After extracting the maximum element from a max heap of n elements and restoring the heap property, what is the number of possible swap operations performed in the worst case?
What is the tightest time complexity for heapifying an array of n unordered elements (building a heap using the bottom-up approach)?
In a priority queue implemented with a binary heap, what is the behavior regarding identical priority elements (i.e., their insertion order) when they are removed?