Introduction to Java Programming and Data Structures, Comprehensive Version Plus MyProgrammingLab with Pearson EText -- Access Card Package
11th Edition
ISBN: 9780134694511
Author: Liang, Y. Daniel
Publisher: Pearson Education Canada
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Question
Chapter 23.6, Problem 23.6.9CP
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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Heap Operation
1. pq.Enqueue(28);
2. pq.Enqueue(2);
3. pq.Enqueue(40);
4. pq.Dequeue(x);
5. pq.Dequeue(y);
6. pq.Dequeue(z);
56
27
42
26
15
3
19
Values x, y, z?
25
24
Programming language: JAVA
Show the heap-based(min) priority queue constructed by inserting the following elements, either graphically or by listing the contents of the underlying array 8 6 0 4 2 1 3 5 7 9
*Please using JAVA only*
Objective
Program 3: Binary Search Tree Program
The primary objective of this program is to learn to implement binary search trees and to combine their functionalities with linked lists.
Program Description
In a multiplayer game, players' avatars are placed in a large game scene, and each avatar has its information in the game. Write a program to manage players' information in a multiplayer game using a Binary Search (BS) tree for a multiplayer game. A node in the BS tree represents each player. Each player should have an ID number, avatar name, and stamina level. The players will be arranged in the BS tree based on their ID numbers. If there is only one player in the game scene, it is represented by one node (root) in the tree. Once another player enters the game scene, a new node will be created and inserted in the BS tree based on the player ID number. Players during the gameplay will receive hits that reduce their stamina. If the players lose…
Chapter 23 Solutions
Introduction to Java Programming and Data Structures, Comprehensive Version Plus MyProgrammingLab with Pearson EText -- Access Card Package
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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- A drop-out stack is a data structure that acts just like a stack except that if the stack size is n, and the n + 1 element is pushed, the first element is lost. Using an array, create a drop-out stack. (Hint: A circular array implementation would be appropriate.)arrow_forwardan application has a huge number of find the maximum operations, but a relatively small number of insert and remove the maximum operations. Which priority- queue implementation do you think would be most effective: heap, unordered array, or ordered array? Explain your Answer.arrow_forwardHeap and Heap Sort Your application will have a huge number of find the maximum operations, but a relatively small number of insert and remove the maximum operations. Which priority- queue implementation do you think would be most effective: heap, unordered array, or ordered array? please Explain your Answer. Show in the style given in the class, how the number 82403 will be sorted using heap-sort (min-heap).arrow_forward
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- 2.) C [10] = {5, 1,2,8,6,10,3,9,4,7} heap size = 10 Do Heapify (C, 1). What the values in the array C starting from the index 0 to 9?arrow_forward1)Implement hash table in java for the following elements. Handle collision using separate chaining technique11,14,81,61,18,16,20,33,52,65,69,21,98 2) Implement Max Heap structure for the series of elements 12 11 13 5 6 7 45 26 33 59 58 in Javaarrow_forwardConsider the Stack ADT: Stack: push(x) adds x to top of stack pop() removes top element of stack and returns it size() returns number of elements in stack Select all options that allow for an efficient implementation based on the discussions from class. For any array implementation, you can assume the array is large enough so that making a larger one is not needed when pushing an item to the stack. Using an array with the top at the front of the array. Using an array with the top at the back of the array. Using a singly linked list with the top at the head of the list. Using a singly linked list with the top at the tail of the list. ENGarrow_forward
- Answer the following briefly. a) Why is a doubly linked list more useful than a singly linked list? b) Explain the steps involved in inserting a new value in a binary heap with the help of a suitable example.arrow_forwardIs there a reason why the heap is better than a stack?arrow_forwardI need a Java code that creates and sorts binomial heap from highest to lowest, basically a binomial priority queuearrow_forward
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