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 6MC
Program Description Answer
In a binary search tree, if a node with two children is removed, then it is replaced by the smallest node in its left subtree.
Hence, the correct answer is option “C”.
Expert Solution & Answer
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Students have asked these similar questions
int doo(node<int>*root){
if(root !=0 ) {
if(root->left==0 && root->right==0) return root->data;
int L=doo(root->left);
int R=doo(root->right);
if(L>R) return R; else return L;}
}
this code used for
a.
find the sum of leaves items in a binary tree
b.
find the minimum item in a binary tree
c.
find the minimum item in the leaves of a binary tree
d.
the maximum item in the leaves of a binary tree
What kind of tree has the property that the nodes along the path from the root to any node are in sorted order?
A. binary search tree
B. complete binary tree
C. heap
D. None of the above
int doo(node<int>*root){
if(root !=0 ) {
if(root->left==0 && root->right==0) return root->data;
return doo(root->right);
}
}
this code used for
a.
find the maximum item in a binary search tree if it has a right sub tree
b.
find the number of right leaves in a binary tree if it has a right sub tree
c.
find the maximum item in a binary tree if it has a right sub tree
d.
find the first right item in the binary tree if it has a right sub 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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Similar questions
- Assume the above tree is a binary search tree, a) Show the tree after removing node h; b) Show the tree after removing node f; c) Show the tree after removing node a; Please do part a b and c (Note, each small question is independent.)arrow_forwardIn a binary search tree, the getInorderIterator inherited from the class BinaryTree sorts data - in descending order - in ascending order - in striped order - none of the abovearrow_forwardIN JAVA Write an algorithm that returns the second largest value in a binary search tree containing at least two nodes.If the largest value is in node L, the second largest value is in either the parent of node L or the largest node inL’s left subtree.arrow_forward
- Q#1. Draw the Binary and Binary search tree for the following values, and traverse the Binary Search tree in Post, Pre and Inorder.? 100,29,45,120,12,45,140,100,45,150,45,67,89,100,650 Q#2. Convert the following expression into the Prefix and Postfix mentioned notation? And draw their trees. a> a + b + c - d * x / y b> x*(y - a) + (s + t * d)arrow_forwardSuppose the root of a binary search tree (BST) has the number 36 and you want to search for the number 20 in the BST. After going to the node of 36, where should you search next?arrow_forwardIn 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_forward
- In the binary search tree, write a function that takes in a root, p, and checks whether the tree rooted in p is a binary search tree or not. What is the time complexity of your function? def is_bst(self, p: Node):arrow_forwardvoid F(node<int>&*root){if(root!=0){F(root->left); F(root->right); root->data=0; delete root;}root=0;} this code Select one: a. all of them b. Set all data items in the binary tree to 0 c. free the binary tree and returns it empty d. remove all items in the binary tree without changing its sizearrow_forwardvoid F(node<int>&*root){if(root!=0){F(root->left); F(root->right); root->data=0; delete root;}root=0;} this code Select one: a.all of them b.Set all data items in the binary tree to 0 c.free the binary tree and returns it empty d.remove all items in the binary tree without changing its sizearrow_forward
- Consider the following Binary Search Tree. Assume you want to store the numbers in the given tree as another complete binary search tree. In what order should you insert the numbers so that the resulting tree is complete.arrow_forwardIn DrRacket: Define the difference between Binary Search Trees and Nodes? A) A Binary Search Tree is a Node, but a Node isn’t always a Binary Search Tree. B) A Node is a Binary Search Tree, but a Binary Search Tree isn’t always a Node. C) Binary Search Trees may contain Nodes, but Nodes cannot contain Binary Search Trees. D) Nodes may contain Binary Search Trees, but Binary Search Trees cannot contain Nodes. E) They are the same thingarrow_forwardA full binary search tree with 5 levels has 16 leaves and 32 nodes 16 leaves and 31 nodes 8 leaves and 16 nodes 8 leaves and 15 nodes none of the abovearrow_forward
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