Starting Out with Java: From Control Structures through Data Structures (4th Edition) (What's New in Computer Science)
4th Edition
ISBN: 9780134787961
Author: Tony Gaddis, Godfrey Muganda
Publisher: PEARSON
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Chapter 21, Problem 2AW
Program Plan Intro
Binary tree:
- Binary tree is a hierarchical structure to represent the data. The element of tree is called as a node.
- Here, the branches are used to connect the nodes.
- Each node may have zero, one, or two children.
- A node that does not have a superior node is called the root node.
- The root node is the starting node, and it is the ancestor for all other nodes in the tree.
- A node that does not have any children is called as a leaf node or an end node.
- It is used to implement binary search trees and binary heaps.
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Write a recursive method isBinaryTree() that takes a Nodeas argument and returns true if the subtree count field N is consistent in the data structure rooted at that node, false otherwise. Note : This check also ensures that the datastructure has no cycles and is therefore a binary tree (!).
Write a recursive method isBinaryTree() that takes a Nodeas argument and returns true if the subtree count field N is consistent in the data structure rooted at that node, false otherwise. Note : This check also ensures that the data structure has no cycles and is therefore a binary tree (!).
Use python only.
*Print elements of all the Nodes of a tree using Post-order Traversal
and
*Write a method which will return a copy (new tree) of a given tree
Chapter 21 Solutions
Starting Out with Java: From Control Structures through Data Structures (4th Edition) (What's New in Computer Science)
Ch. 21.1 - Prob. 21.2CPCh. 21.1 - Prob. 21.3CPCh. 21 - Prob. 1MCCh. 21 - Prob. 2MCCh. 21 - Prob. 3MCCh. 21 - Prob. 4MCCh. 21 - Prob. 5MCCh. 21 - Prob. 6MCCh. 21 - Prob. 7MCCh. 21 - Prob. 8MC
Ch. 21 - Prob. 9MCCh. 21 - Prob. 10MCCh. 21 - Prob. 11TFCh. 21 - Prob. 12TFCh. 21 - Prob. 13TFCh. 21 - Prob. 14TFCh. 21 - Prob. 15TFCh. 21 - Prob. 16TFCh. 21 - Prob. 17TFCh. 21 - Prob. 18TFCh. 21 - Prob. 19TFCh. 21 - Prob. 20TFCh. 21 - Prob. 21TFCh. 21 - Prob. 1FTECh. 21 - Prob. 2FTECh. 21 - Prob. 3FTECh. 21 - Prob. 1SACh. 21 - Prob. 2SACh. 21 - Prob. 3SACh. 21 - Prob. 4SACh. 21 - What is a priority queue?Ch. 21 - Prob. 6SACh. 21 - Prob. 7SACh. 21 - Prob. 1AWCh. 21 - Prob. 2AWCh. 21 - Prob. 3AWCh. 21 - Prob. 4AWCh. 21 - Prob. 5AWCh. 21 - Prob. 6AWCh. 21 - Prob. 7AWCh. 21 - Prob. 4PCCh. 21 - Prob. 6PC
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- For the given Binary Tree, list the keys in the order they are visited by each of the following traversal methods (a) Preorder (b) Inorder (c) Postorderarrow_forwardWrite a function, countNegativeNodes(TreeNode* p), that returns the number of nodes in a binary tree that have negative numbers as their node value. Use RECURSION.arrow_forwardWrite a method called countLeftNodes that returns the number of left children in the tree. A left child is a node that appears as the root of the left-hand subtree of another node. For example, reference tree #1 has 3 left children (the nodes storing the values 5 , 1 , and 4 ).arrow_forward
- Add the following new methods in BST./** Display the nodes in a breadth-first traversal */public void breadthFirstTraversal()/** Return the height of this binary tree */public int height()arrow_forwardThe following method is called with the root node of a binary tree. What does the method do and what is the time complexity of the method? Justify the answer.arrow_forwardCreate a method for rapidly determining if two nodes u and v in a tree T with the root node s are descendants or ancestors.arrow_forward
- You are implementing a binary search tree class from scratch, which, in additionto insert, find, and delete, has a method getRandomNode() which returns a random node from the tree. All nodes should be equally likely to be chosen. Design and implement an algorithm for getRandomNode, and explain how you would implement the rest of the methodsarrow_forwardWrite a method printLevel() that takes a Node as argument and prints the keys in the subtree rooted at that node in level order (in order of their distance from the root, with nodes on each level in order from left to right). Hint : Use a Queue.arrow_forwardWrite a routine that takes only a reference to the root of a binary tree and compute the number of nodes. example in the photo (source code)arrow_forward
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