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Questions and Answers
What characterizes a complete tree?
What characterizes a complete tree?
What happens when the 19 node is added to the tree?
What happens when the 19 node is added to the tree?
Which method is NOT stated as part of the Binary Search Tree class?
Which method is NOT stated as part of the Binary Search Tree class?
What does the 'add' method in a Binary Search Tree do?
What does the 'add' method in a Binary Search Tree do?
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Where does the 35 node attach itself in the tree?
Where does the 35 node attach itself in the tree?
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What impact does the addition of the 4 node have on the tree?
What impact does the addition of the 4 node have on the tree?
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Which part of the BinarySearchTree class sets the initial state of the root?
Which part of the BinarySearchTree class sets the initial state of the root?
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What is the final height of the tree after all nodes have been added?
What is the final height of the tree after all nodes have been added?
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What is the primary advantage of using a Binary Search Tree (BST) over a linked list for large data storage?
What is the primary advantage of using a Binary Search Tree (BST) over a linked list for large data storage?
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In the given Binary Search Tree Node class, which type is suggested for the 'myValue' variable?
In the given Binary Search Tree Node class, which type is suggested for the 'myValue' variable?
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What does the worst-case time complexity of a Binary Search Tree depend on?
What does the worst-case time complexity of a Binary Search Tree depend on?
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What does the following line of code within the toString method return when the left node is null? '", Left:"+(left==null?null:left.myValue)'
What does the following line of code within the toString method return when the left node is null? '", Left:"+(left==null?null:left.myValue)'
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What is a potential downside of the Binary Search Tree in terms of its structure?
What is a potential downside of the Binary Search Tree in terms of its structure?
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Which property must be maintained when inserting new values into a Binary Search Tree?
Which property must be maintained when inserting new values into a Binary Search Tree?
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What does the conditional operator used in the toString method replace?
What does the conditional operator used in the toString method replace?
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Why is it encouraged to write a toString method in the Binary Search Tree Node class?
Why is it encouraged to write a toString method in the Binary Search Tree Node class?
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What is the first node printed during a preorder traversal of the described binary search tree?
What is the first node printed during a preorder traversal of the described binary search tree?
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Which child node is traversed immediately after the root node in a preorder traversal?
Which child node is traversed immediately after the root node in a preorder traversal?
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What does the traversal do when it encounters a null node in the tree?
What does the traversal do when it encounters a null node in the tree?
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In what order would the nodes be printed during the preorder traversal described?
In what order would the nodes be printed during the preorder traversal described?
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What is the significance of the recursive method in a preorder traversal?
What is the significance of the recursive method in a preorder traversal?
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What happens when the traversal attempts to process the left child of a node but finds it null?
What happens when the traversal attempts to process the left child of a node but finds it null?
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During the preorder traversal, what occurs right after printing the value of a node?
During the preorder traversal, what occurs right after printing the value of a node?
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What structure is primarily utilized to manage the traversal in a preorder approach?
What structure is primarily utilized to manage the traversal in a preorder approach?
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What occurs first when executing the levelOrder function?
What occurs first when executing the levelOrder function?
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What happens if a node has a null left child during level order traversal?
What happens if a node has a null left child during level order traversal?
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How is the temp String variable constructed during the traversal?
How is the temp String variable constructed during the traversal?
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What is the final outcome after the queue is empty in the level order procedure?
What is the final outcome after the queue is empty in the level order procedure?
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Which part of the queue does the 3 node represent when it is processed?
Which part of the queue does the 3 node represent when it is processed?
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What does the toString method do in relation to traversal methods?
What does the toString method do in relation to traversal methods?
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What will happen if the queue contains only leaf nodes at some point during the traversal?
What will happen if the queue contains only leaf nodes at some point during the traversal?
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In the context of this procedure, what role does the queue serve?
In the context of this procedure, what role does the queue serve?
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What does the remove method return when a target node is removed from a binary search tree?
What does the remove method return when a target node is removed from a binary search tree?
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What initial check must the programmer perform before executing the remove method?
What initial check must the programmer perform before executing the remove method?
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What is indicated by a root node of degree 0 in the context of the remove method?
What is indicated by a root node of degree 0 in the context of the remove method?
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If the root of the binary search tree has a right child and no left child, what happens during the removal process?
If the root of the binary search tree has a right child and no left child, what happens during the removal process?
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What is the purpose of assigning a temporary binary node called 'temp' to root?
What is the purpose of assigning a temporary binary node called 'temp' to root?
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How should the programmer handle the removal of a node with degree 1 in the binary search tree?
How should the programmer handle the removal of a node with degree 1 in the binary search tree?
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What does the method call for 'remove helper method' signify in the remove process for nodes with two children?
What does the method call for 'remove helper method' signify in the remove process for nodes with two children?
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What condition must be checked to ensure that the root is being removed correctly during the removal process?
What condition must be checked to ensure that the root is being removed correctly during the removal process?
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What happens when the root node is the only node in the tree and is removed?
What happens when the root node is the only node in the tree and is removed?
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Which statement correctly describes the purpose of the 'inorderSuccessor' in the code?
Which statement correctly describes the purpose of the 'inorderSuccessor' in the code?
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What is the condition checked when the method determines if the root should be removed?
What is the condition checked when the method determines if the root should be removed?
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In the event that the root has both children, which method is called to handle the removal?
In the event that the root has both children, which method is called to handle the removal?
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What type of node must be provided to the remove helper method along with the target value?
What type of node must be provided to the remove helper method along with the target value?
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What happens if the root node has no left child during a removal operation?
What happens if the root node has no left child during a removal operation?
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What is the significance of the 'remove' method calling itself recursively?
What is the significance of the 'remove' method calling itself recursively?
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What is the result of the statement 'root = null;' in the remove method?
What is the result of the statement 'root = null;' in the remove method?
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Study Notes
Binary Search Tree Notes
-
A Binary Search Tree (BST) is a data structure for organizing large datasets efficiently. It allows for faster insertion, deletion, and searching compared to linked lists, with a logarithmic time complexity (O(log n)) for most operations. Linked lists, in contrast, have a linear time complexity (O(n)).
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A BST node contains an object value and two pointers: a left pointer and a right pointer. The left pointer points to nodes with values less than the current node, while the right pointer points to nodes with values greater than the current node.
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For optimal performance, the value within a Binary Search Tree node should implement the
Comparable
interface. This allows for comparisons between different objects. -
The worst-case scenario for a BST is a linear time constraint, O(n), which is the most inefficient case.
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The
toString()
method for a BST node should return the node's value along with the values of its left and right children (null if a child is missing). -
The BST stores data in a sorted order allowing for quick retrieval.
Terminology for Binary Trees
- Root: The starting node of the BST; it has no parent.
- Parent: A node with at least one child.
- Child: A node pointed to by a parent node. Left children have values less than the parent, while right children have values greater.
- Edge: The connection between a parent and a child.
- Sibling: A child that shares the same parent.
- Leaf: A node with no children (also called an outer or terminal node).
- Internal Node: A node with at least one child (also called a parent or branch node).
- Degree: The number of children a node has. In a binary tree, degrees can be 0, 1, or 2.
- Level: The distance of a node from the root, measured in edges.
- Height: The longest path from the root to a leaf, measured in edges.
- Path: The sequence of nodes from one node to another, moving through parent-child relationships
- Branch/Subtree: Any portion of a tree starting from any node.
- Width(tree): The largest number of nodes on any of the levels of the tree.
- Diameter of Tree: The longest path between any two leaf nodes in the tree.
Inserting into a BST
- New values are compared to the root node. If the new value is less than the root, it goes down the left subtree. If it's greater, it goes down the right subtree. This process continues until an empty spot is found and the new value is placed.
Creating a BST
- The first value is the root node.
- Subsequent values are placed accordingly to their relationship to the existing values.
Traversal Methods
- Preorder Traversal: Print the root, traverse the left subtree, and traverse the right subtree.
- Inorder Traversal: Traverse the left subtree, print the root, and traverse the right subtree (returns sorted values).
- Postorder Traversal: Traverse the left subtree, traverse the right subtree, and print the root.
- Level-Order Traversal: Visit all nodes at a given level before moving to the next level. This traversal, unlike the recursive ones, uses a queue.
Deletion
- Removing involves identifying the node to be removed and determining its degree (number of children).
- Degree 0 (Leaf): The parent's relevant pointer is set to null -Degree 1: The parent's pointer is adjusted to point to the child of the node being removed. Degree 2: The node is replaced by its inorder successor (the node with the largest value in the left subtree or smallest value in the right subtree).
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Description
Test your understanding of Binary Search Trees (BST) with this quiz. Explore questions on tree characteristics, methods, and advantages over other data structures. This quiz covers various aspects including node addition, tree height, and complexities.