For AVL trees, make sure to check for balance after each operation and rotate if necessary before answering the question. 2 4 6 7 8 9 10 12 14 13 15 Delete 8. After deletion, what is the depth of node 4? Delete 10. After deletion, how many nodes would have to be added to the resulting tree for it to become a full binary tree?

For AVL trees, make sure to check for balance after each operation and rotate if necessary before answering the question. 2 4 6 7 8 9 10 12 14 13 15 Delete 8. After deletion, what is the depth of node 4? Delete 10. After deletion, how many nodes would have to be added to the resulting tree for it to become a full binary tree?

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Similar questions

13 46 65 58 84 94 98 Node 84 is to be removed from the above BST Tree. The first step is to find the rightmost node of 84. How will you find it? and What is the rightmost node of 84?
Write solution step by step Insert the following elements in an empty AVL tree one by one: 14,17,11,7,53,4,13. Balance the tree after each insertion. Then delete the elements: 53, 11 and balance it.
(a)Draw updated AVL tree after deletion of 20? Draw each rotation.Insert Node 130 after step (a), then insert 125.
Question 17 Consider the AVL Tree below. Use the AVL Tree Deletion algorithm to delete 0030 from the tree. List the nodes of the resulting tree in pre-order traversal order separated by one blank character. For example, the tree below can be described in the above format as: 66 22 30 77 68 79 88 0066 2 3 0022 0077 11 0030 0068 0079 1 0088
Consider the AVL Tree below. Use the AVL Tree Deletion algorithm to delete 0033 from the tree. List the nodes of the resulting tree in pre-order traversal order separated by one blank character. For example, the tree below can be described in the above format as: 50 33 77 60 0050 1 2 0033 0077 1: 0060
Problem 2 : Consider the following binary search tree: 42 24 57 12 30 44 63 29 36 49 31 Show the resulting tree if you delete the entry with key = 42 from the above tree. You need to describe, step by step, how the resulting tree is generated.
Node 84 is to be removed from the above BST Tree. The first step is to find the rightmost node of 84.
7. For a binary tree like what follows. Please use deletion by merging to delete node 32. Show your work(step by step) 29 89 14 32 20 50 43 78 44
Part (a): Show the result of inserting 2, 0, 5, 7, 9, 1, 6, 8, 3, 4 into an initially empty binary search tree. Part (b): Show the result of deleting the root. Note: in this question use the successor node (not the predecessor) for the replacement Note this is a BST, not a Balanced BST.
4. Draw the binary search tree whose root node is the 7th and 8th digit of your id i.e. ID: 2221078842, the root node is 88, and elements are inserted in the following order. 52 75 93 97 105 28 13 11 9 2 10 25 19 54 16 18 95 Print the elements of the tree after deleting nodes 9, 2, 25. Now insert new nodes 22, 100 and print the elements in the tree (postorder). [Just write the main.cpp must use the class included in your final syllabus to solve this problem]
This exercise is about drawing BSTs. You are asked to: Show the result of inserting 3, 1, 4, 6, 9, 2, 5, and 7 in an initially empty binary search tree. Then show the result of deleting the root. Draw all binary search trees that can result from inserting permutations of 1, 2 and 3. How many types of trees are there? What are the probabilities of each type of tree’s occurring if all permutations are equally likely Given the input {4371, 1323, 6173, 4199, 4344, 9679, 1989}, a fixed table size of 10, and a hash function H(X) = X mod 10, show the resulting Linear probing hash table Separate chaining hash table
Given a binary tree, find its maximum depth. The maximum depth is the number of nodes along the longest path from the root node down to the farthest leaf node. Note: A leaf is a node with no children. Example: Given binary tree [3,9,20,null,nul1,15,7] , 3 9 20 15 7 return its depth = 3.