b) A 4-ary max heap is like a binary max heap, but instead of 2 children, nodes have 4 children. A 4-ary heap can be represented by an array as shown in Figure 1 (up to level 2). A[0] A[1] A[2] A[3] A[4] A A A A A A A A A. A A [10] (13)14 [5] [6] [8] [9] [11] [12] (14] (15] [16] (17] (18] (19] [20] Figure 1: 4-ary heap representation using an array Write down MAX_HEAPIFY(A,i) function for a 4-ary max-heap that restores the heap property for ith node.

b) A 4-ary max heap is like a binary max heap, but instead of 2 children, nodes have 4 children. A 4-ary heap can be represented by an array as shown in Figure 1 (up to level 2). A[0] A[1] A[2] A[3] A[4] A A A A A A A A A. A A [10] (13)14 [5] [6] [8] [9] [11] [12] (14] (15] [16] (17] (18] (19] [20] Figure 1: 4-ary heap representation using an array Write down MAX_HEAPIFY(A,i) function for a 4-ary max-heap that restores the heap property for ith node.

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

5. Demonstrate, step by step, how to construct a max-heap for the list of integers A[1.8] = (12, 8, 15, 5, 6, 14, 1, 10) (in the given order), following Example 4.14. 6. Demonstrate, step by step, how to sort a list of integers (2, 4, 1, 5, 6, 7) using a max-heap, following Example 4.15.
v) Given the following incorrect heap: 15, K (26, X) (5, A) (25, J) (9, F) (11, E) (4, W) (6,2) (18, R) (32, H) (19, S) (20, B) (45, F) (24, E) (16, P) (36, Q) A. The heap can be corrected by removing entries (36, Q) and (16, P) B. The heap can be corrected by moving entry (36, Q) to become the child of (26, X), and removing (16, P) C. The heap can be corrected by moving (16, P) to become the child of (26, X), and removing (36, Q) D. Two of the above solutions are correct. E. None of the above solutions will be sufficient to correct the heap.
Assume a priority queue implementation using a max-heap. Consider the following elements: I-W-T-S-K-G-Z-P-M-Q-U-C-D c) enqueue() the following elements in that order (show your workout on the heap drawing): A-F-L-X d) dequeue() three times. Show your workout. e) Draw the array-representation of the priority queue after applying the steps in parts c and d.
Q: 1 Briefly explain the need data structure and algorithm and why as software engineer its important have sound knowledge about it. Q: 2 Define following points: Write a program and explain Queue data structure Write a program and explain Stack data structure. Q: 3 Convert the following infix notation to prefix and post fix notations. (((3*2)^2)+9*4/2)-(6*3+7) Q: 4 Explain types of linked list and what advantages we get over other linear data structures. Q: 5 Solve the following unsorted list: 9,36,4,69,24,16,91,2,45,13,7 Selection Sort Shell Sort Quick Sort
Assume a priority queue implementation using a max-heap. Consider the following elements: 1 - W - T-S-K-G-Z-P-M-Q-U-C-D a) Construct/draw a heap that contains these elements. b) Draw the array-representation of the priority queue constructed in part a. c) enqueue() the following elements in that order (show your workout on the heap drawing): A-F-L-X d) dequeue() three times. Show your workout. e) Draw the array-representation of the priority queue after applying the steps in parts c and d.
Select all proper min heap(s) below: A 20 50 55 20 10 85 99 20 99 50 700 O A C O E
The minmum number of inter changes needed to convert the array 89,19,40,17,12,10,2,5,7,11,6,9,70 into a heap with maximum element at the root is A. 1 B. 2 C. 4 D. None of these
Data Structure
Please show steps clearly
1
4. Insert the following integer keys into a binomial-heap. Show the steps and binomial-heap after each insertion. 40, 90, 20, 70, 50, 60, 30, 10, 80