WebQuestion: Prove that average case complexity of searching for a specific key k in a binary search tree is O(log n) where n is the number of nodes in the tree. Here we assume that the BST was built from a random sequence of n keys, with each sequence having equal probability, and that we are equally likely to search for any of the keys in the BST. WebO (log n) Worst-case space complexity. O (1) In computer science, binary search, also known as half-interval search, [1] logarithmic search, [2] or binary chop, [3] is a search …

time complexity of binary search - The AI Search Engine You …

Web1. Binary search is done by reaching the middle of the sorted array in O (1) time which is done through indexing .The case which you are telling is not exactly how binary search … WebAug 22, 2024 · The O (log n) that we use when talking about Big O has a base of 2. The number of elements is “n” and our time complexity would be the power to which we would … hello hannah

Binary Search Algorithm

WebExpert Answer. QUESTION 5: (C) Log2 (n) Explanation: The actual complexity of binary search algorithm is O (log n). But when u r considerin …. Question 5 1 pts The time … WebTraverse: O(n). Coz it would be visiting all the nodes once. Search : O(log n) Insert : O(log n) Delete : O(log n) Binary Search is a searching algorithm that is used on a certain data structure (ordered array) to find a if an element is within the array through a divide a conquer technique that takes the middle value of the array and compares it to the value in question. hello harinezumi: satsui no ryoubun