Design an algorithm and write code to find the first common ancestor of two nodes in a binary tree. Avoid storing additional nodes in a data structure. NOTE: This is not unecessarily a binary search tree.

The constructed B+ index is shown on the figure below: X y 25 W Z P 1 10 16 23 25 31 36 45 52 61 69 Show the state of the index after each of the following operations: a) Write the missing values x,y,w,z into the initial status of the tree

To insert an element into a binary search tree (BST), you need to locate where to insert it in the tree. The key idea is to locate the parent for the new node.  True  False

Which statement best represents the action taken when removing an element from a binary search tree that has a single child? A) replacing it with its only child B) comparing the element with the root node C simply deleting it replacing it with a duplicate parent element

1. Stack 2. Queue 3. Singly-linked list 4. Binary search tree 5. AVL tree 6. Priority queue 7. Hash table Can be used as an auxiliary data structure for expression evaluation with a binary tree.   Often implemented with complete binary trees satisfying a partial order property.   Data is not ordered, but insertion and search are expected to take O(1) time.   Data is fully ordered, insertion, removal and search are guaranteed to be less than O(n) time.

5. Draw the final binary search tree that results after inserting the following keys in the order they appear here: 24 18 67 68 69 25 19 20 11 93

Alert dont submit AI generated answer. Define a Binary Search Tree. Explain the advantage of a Binary Search Tree data structure. Create a Binary Search Tree (visually the way we did in the class) on the following input data. Show the status of the values during each step. NOTE: You have to describe the condition(s) used and the steps justifying the task of placing the value at a location. 34, 21, 43, 19, 20, 39, 19, 52