A worst-case scenario for a binary tree sort that uses a self-balancing binary search tree is O(n log n) time. The merge sort method is much faster than this one.

Sort the array using insertion sort algorithm list ={18,57,8,89,7}

Python: Written without libraries method find_ansestors , that takes in an index i and returns all ancestors of node located at index i. What is the time complexity of your function? class ArrayBinaryTree:    def __init__(self):        self._heap = []    def find_ancestors(self, i: int):                if(i==0):                            return;

Heapsort uses a heap to sort different elements. The use of a heap makes this algorithm the most efficient in the worst case for sorting.