9. Aa operater delete for a binary heap datastructure is to be designed to delete the itemin the i-h node. Assume that dhe heap isimplemented in an armay and i refers to thea inder of the amay. If the heap tree basdepth d (number of adges on the path from theroot to the farthest leaf), thea what is the timecomplexity to re-fx the heap efficiently aterthe removal of the clement?

RAs operater delete for a biary heap data sructure is to be designed to delte the item t is de i node Assume that the heap implenented in an amay and i refer o he a d A ppan depth d(umber of adges on the path fom the root the farthes leaf, then what is the time complexity to e-fx the heap efficiently ater the removal of the clement

RAs operater delete for a biary heap data sructure is to be designed to delte the item t is de i node Assume that the heap implenented in an amay and i refer o he a d A ppan depth d(umber of adges on the path fom the root the farthes leaf, then what is the time complexity to e-fx the heap efficiently ater the removal of the clement

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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1. a Is this a min-heap or a max-heap?b. What is the value of the root node?c. What is the left child of node 14?d. What is the left child of node 26?
Write the complete code for the problem as given below
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4. Assume X = {3,4,6,9,8,7,16,15,20,19} is an array representation of a binary heap, such that each element in X represents a node on the heap. Delete one node from the heap. After the deletion, the root node of the tree representing the heap is node The left child of the root node is node and the right child of the root node is node . The right child of node 8 is node A Que
{MB X, Ex B, G BX, M RD, ABX, AxB, MH D, a xB, Y xB, A HD |- Build an AVl tree Showing all steps in det ails. 2- 3 a max- heap Showing all steps in de tails.
Question Which of the following statements about priority queues are true? Unless otherwise specified, assume that the binary heap implementation is the one from lecture (e.g., max-oriented and using 1-based indexing). Answer Mark all that apply. OThe main reason to use an array to represent the heap-ordered tree in a binary heap is because the tree is heap-ordered. OIn the worst case, inserting a key into a binary heap containing n keys takes - log_2 n compares. O Any node in a binary heap that has a right child also has a left child. O The main reason to use an array to represent the heap-ordered tree in a binary heap is because the tree is a "binary tree. OLet al] be any array in which a[1] > a[2] > .. > a[n] (and a[o] is empty). Then al] is a binary heap.
Ques: Given a Binary Tree (BT), convert it to a Doubly Linked List(DLL) In-Place. The left and right pointers in nodes are to be used as previous and next pointers respectively in converted DLL. The order of nodes in DLL must be same as Inorder of the given Binary Tree. The first node of Inorder traversal (leftmost node in BT) must be the head node of the DLL. Find error in the following code: #include <bits/stdc++.h> using namespace std; // Tree Node struct Node { int data; Node* left; Node* right; }; { Node* temp = new Node; temp->data = val; temp->left = NULL; temp->right = NULL; return temp; } // Function to Build Tree Node* buildTree(string str) { // Corner Case if(str.length() == 0 || str[0] == 'N') return NULL; // Creating vector of strings from input // string after spliting by space vector<string> ip; istringstream iss(str); for(string str; iss >> str;…
Ques: Given a Binary Tree (BT), convert it to a Doubly Linked List(DLL) In-Place. The left and right pointers in nodes are to be used as previous and next pointers respectively in converted DLL. The order of nodes in DLL must be same as Inorder of the given Binary Tree. The first node of Inorder traversal (leftmost node in BT) must be the head node of the DLL. Find error in the following code: #include <bits/stdc++.h>using namespace std; // Tree Nodestruct Node{ int data; Node* left; Node* right;}; { Node* temp = new Node; temp->data = val; temp->left = NULL; temp->right = NULL; return temp;} // Function to Build TreeNode* buildTree(string str){ // Corner Case if(str.length() == 0 || str[0] == 'N') return NULL; // Creating vector of strings from input // string after spliting by space vector<string> ip; istringstream iss(str); for(string str; iss >> str; ) ip.push_back(str);…
Write down MIN_HEAPIFY(A,i) function for a 3-ary min-heap that restores the heap property for ith node.
1.For a full binary tree, the number of leaf-nodes is more than non-leaf nodes. True False 2.For a Max-Heap, the functions Max and Extract-Max have same runtime complexity. True False 3.Heap-increase-Key and Heap-Decrease-Key both have same runtime complexity because both call Heapify function. True False 4.A sorted linked-list has fast insertion but slow extraction. True False 5.Don’t use Max-Heap in case you often perform search operation. Use sorted linked-list inserted. True False
2. Consider the heap implementation of a priority queue. Let H be a heap on n ele- ments. Delete(H, i) deletes the element in position i. Construct an example heap with at least 15 elements, and identify a position i with the property that Delete(H, i) results in the execution of calls to Heapify-up. You must draw your example heap as a binary tree and identify the element at position i. Then justify that your example satisfies the required property.
Match the ADT with its behavior A. "Last-In-First Out" (LIFO) structure v Stack v Queue R Collection of pairs (k, v) where v can be found quickly if you know k v Set C. An unordered collection of distinct elements v Map D. "First-In-First-Out" (FIFO) structure A Click Submit to complete this assessment. P Type here to search 7s 144 A esc %23 % & 2 3 4 7 8 Q W E R P