Introduction to Java Programming and Data Structures Comprehensive Version (11th Edition)
11th Edition
ISBN: 9780134700144
Author: Liang
Publisher: PEARSON
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Chapter 23.6, Problem 23.6.4CP
Program Plan Intro
Complete binary tree:
- A binary tree is said to be a complete if every level of the tree are full except the last level.
- The last level need not be full and all the leaves on the last level are placed left most.
Heap:
- A heap is considered to be binary tree if it has following properties
- When it is complete binary tree.
- Every node is greater than or equal to its children.
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Show the resulting heap after 33, 22, and 8 are added to the following heap
50 30 40 20 10 25 35 10 5
1.
Heap and Heapsort.
(a) Run Build-Heap on the array [10, 9,4,7,6,2,3,1, 8,5] to construct a min heap. Write down the resulting
array. Then, run the loop in Heapsort for three iterations. For each iteration write down the array after
Heapify-Down is finished. You do not need to show intermediate steps.
(b) Show that the leaves of a heap occupy the positions [],...,n-1 of the array.
(c) In the procedure Build-Heap, why do we decrease i from [2]-1 to 0 instead of increasing from 0 to
[2]-1? Give an example array where increasing i fails to create a valid min heap.
4. Draw a new heap that is created by inserting 52 into the following heap:
100
71
67
68 50
44
51
60 49 25
30
Chapter 23 Solutions
Introduction to Java Programming and Data Structures Comprehensive Version (11th Edition)
Ch. 23.2 - Prob. 23.2.1CPCh. 23.2 - Prob. 23.2.2CPCh. 23.2 - Prob. 23.2.3CPCh. 23.3 - Prob. 23.3.1CPCh. 23.3 - Prob. 23.3.2CPCh. 23.3 - Prob. 23.3.3CPCh. 23.4 - Prob. 23.4.1CPCh. 23.4 - Prob. 23.4.2CPCh. 23.4 - What is wrong if lines 615 in Listing 23.6,...Ch. 23.5 - Prob. 23.5.1CP
Ch. 23.5 - Prob. 23.5.2CPCh. 23.5 - Prob. 23.5.3CPCh. 23.5 - Prob. 23.5.4CPCh. 23.6 - Prob. 23.6.1CPCh. 23.6 - Prob. 23.6.2CPCh. 23.6 - Prob. 23.6.3CPCh. 23.6 - Prob. 23.6.4CPCh. 23.6 - Prob. 23.6.5CPCh. 23.6 - Prob. 23.6.6CPCh. 23.6 - Prob. 23.6.7CPCh. 23.6 - Prob. 23.6.8CPCh. 23.6 - Prob. 23.6.9CPCh. 23.7 - Prob. 23.7.1CPCh. 23.7 - Prob. 23.7.2CPCh. 23.8 - Prob. 23.8.1CPCh. 23 - Prob. 23.1PECh. 23 - Prob. 23.2PECh. 23 - Prob. 23.3PECh. 23 - (Improve quick sort) The quick-sort algorithm...Ch. 23 - (Check order) Write the following overloaded...Ch. 23 - Prob. 23.7PECh. 23 - Prob. 23.8PECh. 23 - Prob. 23.10PECh. 23 - Prob. 23.11PECh. 23 - Prob. 23.12PECh. 23 - Prob. 23.13PECh. 23 - (Selection-sort animation) Write a program that...Ch. 23 - (Bubble-sort animation) Write a program that...Ch. 23 - (Radix-sort animation) Write a program that...Ch. 23 - (Merge animation) Write a program that animates...Ch. 23 - (Quicksort partition animation) Write a program...Ch. 23 - (Modify merge sort) Rewrite the mergeSort method...
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- 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?arrow_forwardDraw a max heap for the following input: 5, 76, 21, 33, 98, 8, 50, 37, 7, 9, 100, 29, 49, 95, 99. You need to show the swaps.arrow_forward4. Build a Max-Heap on the following array A= Show all the steps.arrow_forward
- 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 ALLstepsarrow_forwardShow your correct work.arrow_forward2. Draw the following list of numbers as a heap with the first number as the root: 77, 66, 55, 44, 60, 33, 55. After that insert 40.arrow_forward
- 4. Given an array, arr[] = {90, 15, 10, 7, 12, 2), does this array represents a Max-Heap? if it does, draw this max-heap.arrow_forwardWhat is the depth of a binary heap with 100 nodes (assume the root is on depth 0)?arrow_forwardFor this exercise, Which of the 2 heaps are true? A or B? And WHY?arrow_forward
- Sort the following list of letters in alphabetical order by using heapsort: S, O, R, T, I, N, GShow each step, and represent the heap in an arrayarrow_forwardThere is an algorithm for making the heap complete:1. Remove the node at the root.2. Move the node in the last position to the root.3. Trickle the last node down until it is below.When this algorithm is applied continually, the data is removed from the heap in sorted order. Write the code for the Remove and TrickleDown methods in c#.arrow_forward2. Illustrate the operations of Heapsort on the array A = {5, 16, 8, 1, 25, 37, 9} by drawing the heap in each step. 1) Build the initial heap in either top-down or bottom-up. 2) Sort the elements.arrow_forward
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