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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Expert Solution & Answer
Chapter 21, Problem 1MC
Program Description Answer
A binary tree is a collection of nodes in which each node “has at most two successors”.
Hence, the correct answer is option “D”.
Expert Solution & Answer
Explanation of Solution
Binary tree:
- Binary tree is a hierarchical structure to represent the data. The element of the tree is called as a node or item.
- 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.
- The set of children node in a binary tree form a subtree rooted at that node.
- A node that does not have a children is called as a leaf node or an end node.
Explanation for incorrect options:
Has no successor:
A binary tree may have zero, one, or two successor node. So, it cannot be predicted that a binary tree has no successor.
Hence, option “A” is wrong.
Has one successor:
A binary tree may have zero, one, or two successor node. So, it cannot be predicted that a binary tree has one successor.
Hence, option “B” is wrong.
Has exactly two successors:
A binary tree may have zero, one, or two successor node. So, it cannot be predicted that a binary tree has exactly two successors.
Hence, option “C” is wrong.
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Students have asked these similar questions
Create class node.Create class Binary tree: Implement Insertion and search function in it. Implement Pre-order, In-order, Post-order Traversals Recursively. Create Binary Search Tree Class: Override Insert and search functions in it. In Main: Create objects of Both the trees and access their insertion searching, Delete and traversal functions.
1. Create a Java program that prompts the user the initial choices for the Binary Search Treea. User chooses
1: Insert, User chooses
2: Delete, User chooses
3: Show BinaryTree, User chooses
4: Exit Program
2. Insertion in a tree should be such that it obeys the main properties of the binary searchtree. The basic algorithm should be:a. If the node to be inserted is greater than the existing root, move down a levelthrough the right pointer of the root.b. If the node to be inserted is lesser than the existing root, move down a levelthrough the left pointer of the root.c. Repeat this process for all nodes till the leaves are reached.d. Insert the node as the left or right pointer for the leaf (based on its value - if it issmaller than the leaf, it should be inserted as the left pointer; if it is larger than theleaf, it should be inserted as the right pointer)
3. Deletion is a bit more complicated than insertion because it varies depending on the nodethat needs to be deleted from the…
}
20. In a binary search tree, the immediate predecessor of a given node is the largest node in its left subtree.
For example, the immediate predecessor of node 25 in the following tree is 23 while it is 15 for node 16.
Nodes 21 and 39 do not have an immediate predecessor because none of them has a left child.
25
/ 1
Write a non-recursive method immediate Predecessor, which takes a
BSTNode parameter node (a reference to a node in a binary search tree)
and returns a reference to its immediate predecessor in the tree. If node is
null or it does not have an immediate predecessor, the method returns
null.
public class BSTNode
4
{
private int m_info;
private BSTNode m_left;
private BSTNode m_right;
public int getInfo() {return m_info; }
public void setInfo (int value) {m_info
= info; }
public BSTNode getLeft () {return m_left; }
public void setLeft (BSTNode left) (m_left = left; }
public BSTNode getRight () {return m_right;}
public void setRight (BSTNode right) {m_right
= right;}
}
public…
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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