Starting Out With C++, Early Objects - With Access Package
8th Edition
ISBN: 9780133441840
Author: GADDIS
Publisher: PEARSON
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Chapter 19, Problem 20RQE
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Internationalization considerations are affecting the design of computer software and hardware today in the following ways:
- User Interface: In order to write the programs suitable to the needs of international market is by separating strings that will appear in the user interface from the rest of the code.
- Research: For internationalization considerations, further research into the intended market is advisable.
- Avoid certain colour combinations and research on colour combinations as certain colours may have vulgar connotations...
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Question 1 A
Computer Science
Starting with an empty tic-tac-toe board, start to draw a min-max tree for tic tac toe. Assume the value of the board is +1 for one X, +10 for two X’s in a line and +100 for three X’s in a line
Computer Science Binary Search Tree Implement Binary search Tree (BST) and perform the following operations a. Insert the keys 11,66, 6,9,40,28,5, 88,125,90 b. Print the keys in sorted order using suitable traversal method. C. Search for a key x and prints its address if it is present. d. Compute height of the BST e. Print successor/predecessor of a given key f. Delete the keys 40 and 88 one by one and print the tree in level order after each delete. Note: use only recursive functions for all the operations. Write the c code with proper comments.
Any one help me the following questions
The following sequence of numbers will be inserted into a tree data structure:
500, 250, 750, 1000, 2000, 25, 1, 2, 50, 249, 3000, 900, 875, 880, 800, 200, 600
Answer the following questions:
What will the binary search tree look like after the numbers are inserted in the given order?
From the tree you finished in 1), what will the tree look like each time after the following numbers are deleted (use the delete algorithm discussed in class where the successor is found in the right child subtree):
Delete(3000)
Delete(50)
Delete(750)
From the tree you finished in 2), what will the preorder and postorder traversals look like?
Given the same sequence of numbers:
500, 250, 750, 1000, 2000, 25, 1, 2, 50, 249, 3000, 900, 875, 880, 800, 200, 600
Show the iterations of the following sorting algorithms applied this set:
Insertion
Selection
Quicksort (circle the pivot number each time the partition function is called)
Code Review…
Chapter 19 Solutions
Starting Out With C++, Early Objects - With Access Package
Ch. 19.1 - Prob. 19.1CPCh. 19.1 - Prob. 19.2CPCh. 19.1 - Prob. 19.3CPCh. 19.1 - Prob. 19.4CPCh. 19.1 - Prob. 19.5CPCh. 19.1 - Prob. 19.6CPCh. 19.2 - Prob. 19.7CPCh. 19.2 - Prob. 19.8CPCh. 19.2 - Prob. 19.9CPCh. 19.2 - Prob. 19.10CP
Ch. 19.2 - Prob. 19.11CPCh. 19.2 - Prob. 19.12CPCh. 19 - Prob. 1RQECh. 19 - Prob. 2RQECh. 19 - Prob. 3RQECh. 19 - Prob. 4RQECh. 19 - Prob. 5RQECh. 19 - Prob. 6RQECh. 19 - Prob. 7RQECh. 19 - Prob. 8RQECh. 19 - Prob. 9RQECh. 19 - Prob. 10RQECh. 19 - Prob. 11RQECh. 19 - Prob. 12RQECh. 19 - Prob. 13RQECh. 19 - Prob. 14RQECh. 19 - Prob. 15RQECh. 19 - Prob. 16RQECh. 19 - Prob. 17RQECh. 19 - Prob. 18RQECh. 19 - Prob. 19RQECh. 19 - Prob. 20RQECh. 19 - Prob. 1PCCh. 19 - Prob. 2PCCh. 19 - Prob. 3PCCh. 19 - Prob. 4PCCh. 19 - Prob. 5PCCh. 19 - Prob. 6PCCh. 19 - Prob. 7PCCh. 19 - Prob. 8PCCh. 19 - Prob. 9PC
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- Bonus section Given the following sequence of numbers to insert into a tree data structure:8 10 2 4 5 1 6 3 7 9Answer the following questions:1) What will the binary search tree look like after the numbers are inserted in the givenorder?2) From the tree you finished in 1), what will the tree look like each time after thefollowing numbers are deleted (use the delete algorithm discussed in the slideswhere the successor is found in the right child subtree):a. Delete(7)b. Delete(10)c. Delete(2)3) From the tree you finished in 2), what will the preorder and postorder outputtraversals look like?arrow_forwardBinary Search Tree Empirical and Theoretical ResultsPart 1: we need to define a binary search tree data structure. Also, we need to implement the following functions:1. Insert Sorted: BSTREE insert(BSTREE root, int num): root points to a node in a binary search tree; num is a number to be inserted in the tree rooted at “root”. This function returns the root of the modified tree.2. Print Elements: void inorder traversal(BSTREE root, FILE *fp): root points to a node in a binary search tree. This function does not return anything, but prints out, to the file specified, the nodes in the tree rooted at “root” by performing an inorder traversal. Part 2: Test the performance of the designed data structure using theoretical and experimental approaches as follows:1. Dataset 1-Dataset is sorted- Add code to insert the numbers 1...n in that order in an initially empty doubly linked list and a binary search tree.a. Run it on different values of n where :i. n = 20,000ii. n = 50,000iii. n =…arrow_forwardBinary Search Tree Empirical and Theoretical ResultsPart 1: we need to define a binary search tree data structure. Also, we need to implement the following functions:1. Insert Sorted: BSTREE insert(BSTREE root, int num): root points to a node in a binary search tree; num is a number to be inserted in the tree rooted at “root”. This function returns the root of the modified tree.2. Print Elements: void inorder traversal(BSTREE root, FILE *fp): root points to a node in a binary search tree. This function does not return anything, but prints out, to the file specified, the nodes in the tree rooted at “root” by performing an inorder traversal.arrow_forward
- In C++, develop an algorithm that inserts the value val into a binary search tree with root. If the tree is empty, root = null. The algorithm returns the root of the tree containing the added item. You should assume that “new node” creates a new node with data field data and reference fields left (for left child) and right (for right child).arrow_forwardSubject: Information Technology/Computer Science Java Programming Language: 1. Create a class that accepts id numbers ranging from 1 to 29. 2. The id numbers are nodes of a binary tree. 3. Traverse the tree in inorder, preorder, and postorder and display the traversed values.arrow_forwardQUESTION ١ Start with an empty B-tree, draw a B-tree of order 3 created by inserting integer 1 through 15. Start with an empty B-tree, draw a B-tree of order 5 created by inserting integer 1 through 15. Remove the numbers 12 and 4 from the B-tree created in previous question in question a and b. Discuss analysis of B-tree looking at the number order and height of B-tree. Refer to the B-trees that you created in Question a and b. e. Discuss the main different between B-tree and binary search treearrow_forward
- The binary search tree is great for storing information that allows efficient searching and/or retrieval of the data. It is designed as a collection of nodes, each with a single left node/child and a single right node/child, where at each node, the left child is always less than or equal to the parent value and the right node is always greater than the parent value. To find any item in a well-balanced tree has a best case of O(log2N) retrieval. However, binary search trees have a worst-case retrieval scenario of O(N). This can happen if you have a binary search tree of the form shown here. To find the E in the search tree, we must visit all 5 nodes, not very efficient. Fortunately, it is possible to guarantee that binary search trees never end up in this unfortunate form, so that there is a better chance of having this quick O(log2N) retrieval from all binary search trees. This process is called search tree balancing. One of these techniques is to use rotations. Rotations take a…arrow_forwardProcedure. You must do the following during the course of this project: 1. Create a tree of Hex-a-Pawn board positions. A GameTree is the name of each node on the tree. Although the class's structure is of your own invention, it most likely resembles the BinaryTree implementation.2. Create three different classes of players for the Hex-a-Pawn game. These three classes might collaborate to play a number of games in pairs. provide a code to be usedarrow_forwardCreate a binary tree implementation using the recursive technique taught in the chapter. Each node in this method is a binary tree. As a result, a binary tree has a reference to the element stored at its root, as well as pointers to its left and right subtrees.You should also add a reference to its parent.arrow_forward
- Label the binary search tree below with the following terms (root, parent, right child, left child, leaf, level 0, level 1, level 2, level 3). Also, denote at least one subtree on the binary search tree.arrow_forwardQuestion No 5: HUFFMAN TREE Given Letters A, B, C, D, E with following frequencies. Frequency Table Character Frequency Huffman Codes M 20 10 N 11 1110 O 8 1111 P 12 110 Q 49 0 A) Create a Single Huffman tree to determine the binary codes for each character. B) Fill the codes into the table above. C) Encode the following sequence MNOPQ.arrow_forwardQuestion 1111 Computer Science Python. Please write a function to determine if a binary search tree is full. The function receives a reference to the tree "t". def isFull(t):return Truearrow_forward
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