Given the following binary heap, represented with the array (1, 3, 5, 7, 9), indicate which would be the array that would represent the heap after performing the following operations: insert(2); extract(); extract(); Remember that extracting from a heap means extracting the root node and then reordering the heap to maintain its internal properties. (3, 7, 5, 9) (3, 9, 5, 7} None of the other answers is correct. (3, 5, 7, 9)

Given the following binary heap, represented with the array (1, 3, 5, 7, 9), indicate which would be the array that would represent the heap after performing the following operations: insert(2); extract(); extract(); Remember that extracting from a heap means extracting the root node and then reordering the heap to maintain its internal properties. (3, 7, 5, 9) (3, 9, 5, 7} None of the other answers is correct. (3, 5, 7, 9)

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

See similar textbooks

Similar questions

Assume you are using a backtracking algorithm to search for the node 40 in the max heap represented by the array 100, 50, 60, 40, 10, 20, 30. Assuming that you search from the root of the heap downwards recursively, which of the following is a valid order in which the nodes could have been first visited? 30, 20, 10, 40 100, 50, 60, 10, 30, 40 100, 60, 30, 20, 50, 10, 40 100, 60, 50, 30, 20, 10, 40 100, 60, 30, 20, 10, 40 Assume you are using a backtracking algorithm to search for the node 40 in the max heap represented by the array 100, 50, 60, 40, 10, 20, 30. What is the minimum number of nodes that must be searched in order to find the node 30? 1 5 6 3 4 Assume you have the following backtracking algorithm for finding a way to a desired location in a city organized in a grid as represented by the image. What is the problem with this proposed algorithm? Bool SearchCity(currentLocation,, desiredLocation, stepsToLocation) { If(currentLocation == desiredLocation) { Return…
We can build a heap by top-down (iterated insertion), or by bottom-up. Given the numbers 10, 9, 12, 13, 14, 8 a. run the bottom-up algorithm to create a heap and show the resulting heap and ALLsteps b. run the top-down algorithm to create heap and show the resulting heap and ALLsteps
Suppose we use a 0-based array h[] to implement a heap of 200 elements. If an element of the heap is stored in h[71], the parent of this element can be found at h[]? Suppose we use a 0-based array h[] to implement a heap of 200 elements. If an element of the heap is stored in h[71], the left child of this element can be found at h[]? Suppose we use a 0-based array h[] to implement a heap of 200 elements. If an element of the heap is stored in h[71], the right child of this element can be found at h[]?
Starting with an empty minheap, draw the heap after each of the following operations please see attached image.
2. Show the results of the following operations on an initially empty max heap: a. insert 2, 3, 4, 1, 9, one item at a time; b. delete one item from the heap; c. insert the item 7 and then the item 6; d. delete one item from the heap e. insert the item 5. [7] 3. Show the array presentation of tree that resulted from Question 2.
Assume we have k heaps, each with a maximum of n items. These are to be combined into a single heap. Each of the following sub-parts provides a different method for merging the heaps, and you are required to calculate the large O running time for each method. We build a new linked list, L, that is empty. We continually remove the highest priority element from each of the k piles hi and insert it at the beginning of L, until hi is empty. The items of L are then transferred to an array and the array is heapified. What is the worst-case running time for a huge O?
Question 16 Rk.Given a max-heap whose values correspond to the array indices from 1 through n,what is the smallest possible index for a node with height 1 in the heap? Full explain this question and text typing work only We should answer our question within 2 hours takes more time then we will reduce Rating Dont ignore this line
1. Create a min-binary heap using the elements of the following array. Show intermediate results of percolate(heapify)-down operations. 12, 9, 10, 3, 8, 2, 1, 0, 4 2. Show the result of inserting the following values to an initially empty hash table with 10 bins (h(x) = x%10) when the collision resolution strategy is separate chaining 12, 9, 10, 3, 8, 2, 1, 0, 4 3. show different passes of Shellsort using Hibbard's increment sequence (1,3,7) to sort the following array: 10, 3, 15, 43, 8, 94, 23, 45, 53, 8, 14, 22, 9, 37, 77 4. Show different steps of Radix sort when sorting the given sequence in question 3. 5. Show different steps of Quick sort when sorting the given sequence in question 3.
Show how HeapSort processes the input: 142, 543, 123, 65, 453, 879, 572, 434, 111, 242, 811, 102. Show the initial heap, and the heap after removing 1, 3, and 5 elements.
Construct a minheap with the following numbers and answer the question according to the minheap.30, 80, 12, 28, 42, 78, 17, 71, 32, 48, 16, 59, 63, 14, 79 How many levels are there in the heap?
please provid orignal answer 7. Binary Heaps (Priority Queues!). Enqueue (insert) the value 6 to the following binary heap, then do a Dequeue (deleteMin): Starting heap: 3 7 5 9 7 12 8 14 After enqueue (insert): After dequeue (deleteMin): draw it out
Java: Implementing the remove(u) Method for a Meldable Heap Implement the remove(u) method in Java, which removes the node u from a MeldableHeap. This method should run in O(log n) expected time. First, add the nodes (with values ranging from 1 to 15) to the Meldable Heap without using a scanner. Then, demonstrate that the remove(x) method effectively removes the specified node by printing the number of nodes remaining in the heap and the value of the node being removed. Please provide comments in the program to enhance understanding of its functionality.