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Questions and Answers
What is the primary goal of a Threaded Binary Tree?
In a Single Threaded Binary Tree, which pointer is specifically used to track the in-order successor?
What is the significance of the boolean variable in a Single Threaded Binary Tree Node structure?
Which of the following describes a Double Threaded Binary Tree?
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Which data structure is primarily used to hold pointers in a Threaded Binary Tree?
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What additional feature does a Double Threaded Binary Tree have compared to a Single Threaded Binary Tree?
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What type of data can the data_value
field in the Node structure of a Threaded Binary Tree hold?
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Which statement about the right_thread variable in a Single Threaded Binary Tree is true?
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What is the primary characteristic of the left subtree in a binary search tree?
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Which of the following operations is simplified in a binary search tree due to the sorted order of elements?
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What will the search algorithm return if the element is not found in a binary search tree?
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In a binary search tree, if the value of the element to be searched is less than the root value, what should the search algorithm do?
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Which of the following statements about binary search trees is NOT true?
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What happens if a binary tree violates the binary search tree property?
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Which algorithm step is performed first in searching for an element in a binary search tree?
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Why is it necessary for both left and right subtrees of a node in a binary search tree to be binary search trees?
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What is the first step in inserting an element into a binary search tree?
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Which of the following correctly describes the action taken when inserting a value less than the current node's value?
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When deleting a leaf node from a binary search tree, what is the outcome?
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If the node to be deleted has one child, what happens to that child?
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What is a necessary condition for the deletion of a node in a binary search tree?
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In which scenario does the deletion operation involve replacing a node with NULL?
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What occurs when attempting to delete a node that has both subtrees?
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Which operation must be performed to ensure memory is properly managed during deletion?
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What is the initial action taken when processing operands in the construction of an expression tree?
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During the construction of the expression tree from the expression 'ab+c*', what happens when the '+' operator is read?
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What is the primary purpose of Morris traversal in the context of binary tree traversal?
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In the Morris traversal algorithm, what action is taken when the current node has a left child?
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What characterizes a successor in the context of binary tree traversal?
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What occurs finally when processing the '' operator in the expression 'ab+c'?
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In the context of threaded binary trees, what is a key characteristic?
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What is the primary goal when finding the rightmost node in the left subtree of a current node during Morris traversal?
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What is a key advantage of using a Threaded Binary Tree over a Non-Threaded Binary Tree?
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Which of the following statements best describes the capability of accessing nodes in a Threaded Binary Tree?
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What is one disadvantage of using a Threaded Binary Tree?
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In a Threaded Binary Tree, how is memory waste reduced?
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What time complexity does in-order traversal take in a Threaded Binary Tree compared to a normal Binary Tree?
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What mechanism does a Threaded Binary Tree use to determine predecessor and successor nodes?
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Which operation is generally more time-consuming in Threaded Binary Trees compared to normal Binary Trees?
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How does a Double-Threaded Binary Tree enhance traversal capabilities?
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Study Notes
Expression Trees
- Expression trees are used to represent expressions
- The expression tree is built using a stack
- Each operand is represented by a single-node tree
- Operators act as the root of a new tree, with the two most recently pushed operands acting as their children
Binary Tree Traversal
- In-order traversal is the process of visiting nodes in a specific order
- Successor is the next node in the in-order traversal
- Predecessor is the previous node in the in-order traversal
Morris Traversal
- Morris traversal is an iterative way of implementing in-order traversal
- The algorithm involves:
- Finding the rightmost node in the left subtree of the current node
- Relinking the rightmost node's right child to the current node
- Traversing to the right
Threaded Binary Trees
- A threaded binary tree is a variation of a binary tree where null pointers are utilized to point to the inorder successor or predecessor
-
Single threaded binary trees use a single boolean variable (
right_thread
) -
Double threaded binary trees use two boolean variables (
left_thread
andright_thread
) - The purpose is to facilitate quicker in-order traversal and predecessor/successor lookup
- Advantages:
- Faster traversal
- Efficient predecessor and successor identification
- Reduces memory waste
- Disadvantages:
- More complex insertion and deletion operations
- Uses additional memory to store the boolean variables
Binary Search Tree (BST)
- A BST is a binary tree that maintains sorted order
- Left subtree of a node contains values less than the node's value
- Right subtree of a node contains values greater than the node's value
- No duplicate nodes are allowed in a BST
BST Operations
-
Search:
- Compares the target value with the root node
- If the target is less than the root, it searches the left subtree
- If the target is greater than the root, it searches the right subtree
- Returns NULL if the target is not found
-
Insert:
- Inserts a value into the BST in a specific order (maintaining BST properties)
- If the value is less than the current node, it is inserted in the left subtree
- If the value is greater than the current node, it is inserted in the right subtree
-
Delete:
- Leaf node: Replaces the node with NULL
- Single child: Replaces the node with its child
- Two children: Finds the inorder successor, copies the value, and deletes the successor node
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Description
This quiz covers the key concepts of expression trees and various binary tree traversal techniques, including in-order, Morris, and threaded binary trees. Test your understanding of how these structures operate and their applications in computing. Perfect for students in computer science courses!